68 Data Managers jobs in London
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 7 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
0
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 7 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloombergu2019s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Datau2019s role in providing robust domain expertise and influential data artifacts to Bloombergu2019s products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **u2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
Experience using data visualization tools such as Tableau or Qlik Sense.
Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**Weu2019d Love to See:**
Keen interest and familiarity with generative AI frameworks.
Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Keen interest and familiarity with generative AI frameworks.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 13 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Data AI
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve complex annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You** **'ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling.
+ Experience using data visualization tools such as Tableau or Qlik Sense.
+ Past project/experience analyzing financial datasets or proven past experience working on financial market concepts.
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems.
**We'd Love to See:**
+ Keen interest and familiarity with generative AI frameworks.
+ Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
+ Keen interest and familiarity with generative AI frameworks.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
London, London
Bloomberg
Posted 7 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology u2013 quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**Whatu2019s the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. Youu2019ll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**Weu2019ll Trust You To:**
Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
Lead initiatives to modernize workflowsu2014advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**Youu2019ll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
4+ years of professional experience in data quality management, reference data, or data governance.
Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
Familiarity with ETL processes, data pipelines, and workflow design.
Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**Weu2019d love to see:**
Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
Exposure to Agile methodologies such as Scrum or Kanban.
Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
Exposure to Agile methodologies such as Scrum or Kanban.
Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology u2013 quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**Whatu2019s the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. Youu2019ll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**Weu2019ll Trust You To:**
Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
Lead initiatives to modernize workflowsu2014advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**Youu2019ll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
4+ years of professional experience in data quality management, reference data, or data governance.
Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
Familiarity with ETL processes, data pipelines, and workflow design.
Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**Weu2019d love to see:**
Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
Exposure to Agile methodologies such as Scrum or Kanban.
Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
Exposure to Agile methodologies such as Scrum or Kanban.
Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
London, London
Bloomberg
Posted 7 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology u2013 quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**Whatu2019s the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. Youu2019ll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**Weu2019ll Trust You To:**
Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
Lead initiatives to modernize workflowsu2014advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**Youu2019ll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
4+ years of professional experience in data quality management, reference data, or data governance.
Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
Familiarity with ETL processes, data pipelines, and workflow design.
Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**Weu2019d love to see:**
Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
Exposure to Agile methodologies such as Scrum or Kanban.
Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
Exposure to Agile methodologies such as Scrum or Kanban.
Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology u2013 quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**Whatu2019s the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. Youu2019ll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**Weu2019ll Trust You To:**
Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
Lead initiatives to modernize workflowsu2014advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**Youu2019ll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
4+ years of professional experience in data quality management, reference data, or data governance.
Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
Familiarity with ETL processes, data pipelines, and workflow design.
Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**Weu2019d love to see:**
Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
Exposure to Agile methodologies such as Scrum or Kanban.
Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
Exposure to Agile methodologies such as Scrum or Kanban.
Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
London, London
Bloomberg
Posted 10 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**What's the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**We'll Trust You To:**
+ Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
+ Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
+ Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
+ Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
+ Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
+ Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
+ Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**You'll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ 4+ years of professional experience in data quality management, reference data, or data governance.
+ Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
+ Familiarity with ETL processes, data pipelines, and workflow design.
+ Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
+ Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
+ Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
+ Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**We'd love to see:**
+ Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
+ Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
+ Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
+ Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
**Our Team**
The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.
**What's the Role?**
As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond.
This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability.
**We'll Trust You To:**
+ Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices.
+ Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows.
+ Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines.
+ Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements.
+ Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements.
+ Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work.
+ Stay ahead of industry developments in reference data and private markets to shape our data strategy.
**You'll Need to Have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ 4+ years of professional experience in data quality management, reference data, or data governance.
+ Hands-on experience with data profiling/analysis tools such as Python, R, or SQL.
+ Familiarity with ETL processes, data pipelines, and workflow design.
+ Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights.
+ Proven ability to collaborate across teams and geographies, influencing both technical and business partners.
+ Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs.
+ Strong analytical skills, attention to detail, and a solutions-oriented mindset.
**We'd love to see:**
+ Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM).
+ Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations.
+ Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
+ Exposure to Agile methodologies such as Scrum or Kanban.
+ Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows.
+ Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
London, London
Bloomberg
Posted 3 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
Whatu2019s the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
Weu2019ll trust you to:
Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
Lead the execution of data quality initiatives, best practices, and projects across global teams
Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
Foster a product culture where data quality insights are discoverable, actionable, and transparent
Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
Use technology and technical skills to drive systematic data quality assurance
Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
Stay current with internal best practices, industry standards, and innovations in data quality
Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
Youu2019ll need to have:
Bacheloru2019s degree in Statistics, Data Analytics, Data Science, or another STEM-related field
Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
Proven experience analyzing financial datasets or applying financial market concepts
Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
Strong ability to communicate results clearly and concisely through data visualization tools
Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
Weu2019d love to see:
Experience in data science, technical consulting or the financial industry
Master's or PhD in a relevant field
Certification such as a CFA charter holder or CAIA
Familiarity with Agile or Scrum project management methodologies
Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
Whatu2019s the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
Weu2019ll trust you to:
Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
Lead the execution of data quality initiatives, best practices, and projects across global teams
Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
Foster a product culture where data quality insights are discoverable, actionable, and transparent
Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
Use technology and technical skills to drive systematic data quality assurance
Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
Stay current with internal best practices, industry standards, and innovations in data quality
Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
Youu2019ll need to have:
Bacheloru2019s degree in Statistics, Data Analytics, Data Science, or another STEM-related field
Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
Proven experience analyzing financial datasets or applying financial market concepts
Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
Strong ability to communicate results clearly and concisely through data visualization tools
Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
Weu2019d love to see:
Experience in data science, technical consulting or the financial industry
Master's or PhD in a relevant field
Certification such as a CFA charter holder or CAIA
Familiarity with Agile or Scrum project management methodologies
Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
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6
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
London, London
Bloomberg
Posted 3 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
Whatu2019s the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
Weu2019ll trust you to:
Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
Lead the execution of data quality initiatives, best practices, and projects across global teams
Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
Foster a product culture where data quality insights are discoverable, actionable, and transparent
Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
Use technology and technical skills to drive systematic data quality assurance
Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
Stay current with internal best practices, industry standards, and innovations in data quality
Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
Youu2019ll need to have:
Bacheloru2019s degree in Statistics, Data Analytics, Data Science, or another STEM-related field
Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
Proven experience analyzing financial datasets or applying financial market concepts
Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
Strong ability to communicate results clearly and concisely through data visualization tools
Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
Weu2019d love to see:
Experience in data science, technical consulting or the financial industry
Master's or PhD in a relevant field
Certification such as a CFA charter holder or CAIA
Familiarity with Agile or Scrum project management methodologies
Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
Whatu2019s the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
Weu2019ll trust you to:
Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
Lead the execution of data quality initiatives, best practices, and projects across global teams
Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
Foster a product culture where data quality insights are discoverable, actionable, and transparent
Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
Use technology and technical skills to drive systematic data quality assurance
Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
Stay current with internal best practices, industry standards, and innovations in data quality
Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
Youu2019ll need to have:
Bacheloru2019s degree in Statistics, Data Analytics, Data Science, or another STEM-related field
Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
Proven experience analyzing financial datasets or applying financial market concepts
Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
Strong ability to communicate results clearly and concisely through data visualization tools
Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
Weu2019d love to see:
Experience in data science, technical consulting or the financial industry
Master's or PhD in a relevant field
Certification such as a CFA charter holder or CAIA
Familiarity with Agile or Scrum project management methodologies
Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
7
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
London, London
Bloomberg
Posted 5 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality Engineer - Alternative Investment Funds
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
8
Data & Strategy Lead
London, London
Moonbug Entertainment
Posted 24 days ago
Job Viewed
Job Description
About Moonbug Entertainment
Thank you for considering the Data Lead role with Moonbug Entertainment, an award-winning global entertainment company inspiring kids everywhere to laugh, learn and grow. The company is behind some of the biggest kids’ entertainment brands in the world including CoComelon and Blippi. Moonbug believes every child should have access to our entertaining and enriching content, which is why our shows are available on more than 150 video platforms globally including Netflix, Disney+, BBC iPlayer and YouTube Kids. Moonbug is also a global leader in pre-school music and audio experiences, available on 100+ audio platforms globally. Moonbug brands extend far beyond the screen to include streaming music, toys, games, books, live events, and even theme park exhibits.
Moonbug is part of Candle Media, an independent, creator-friendly home for cutting-edge, high-quality, category-defining brands and franchises. By bringing together elite talent operating at the intersection of content, community, and commerce, it helps to position leading entertainment businesses for accelerated, sustainable growth in the current market and beyond.
This advertiser has chosen not to accept applicants from your region.
9