127 Data Governance Frameworks jobs in the United Kingdom
Senior Data Management Professional - Data Quality - Data AI
London, London
Bloomberg
Posted 11 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 11 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 17 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 - Loans
London, London
Bloomberg
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Loans
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.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**Whatu2019s the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clientsu2019 needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**Weu2019ll trust you to:**
Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
Perform data profiling and apply statistical methods to support data quality measurements
Optimally and proactively connect with partners and senior management
Keep up with the industry trends, standards, and innovation in the Data Quality domain
**Youu2019ll need to have:**
4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
Understanding of ETL processes and broader data workflow engineering concepts
Up-to-date knowledge of events taking place in the financial markets
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**Weu2019d love to see:**
DAMA CDMP or DCAM certifications
Familiarity with Corporate Actions, Loans, Corporate Bonds
Project Management experience developed in a matrixed partner environment and cross-regional business
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 - 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.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**Whatu2019s the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clientsu2019 needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**Weu2019ll trust you to:**
Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
Perform data profiling and apply statistical methods to support data quality measurements
Optimally and proactively connect with partners and senior management
Keep up with the industry trends, standards, and innovation in the Data Quality domain
**Youu2019ll need to have:**
4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
Understanding of ETL processes and broader data workflow engineering concepts
Up-to-date knowledge of events taking place in the financial markets
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**Weu2019d love to see:**
DAMA CDMP or DCAM certifications
Familiarity with Corporate Actions, Loans, Corporate Bonds
Project Management experience developed in a matrixed partner environment and cross-regional business
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 - Loans
London, London
Bloomberg
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Loans
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.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**Whatu2019s the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clientsu2019 needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**Weu2019ll trust you to:**
Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
Perform data profiling and apply statistical methods to support data quality measurements
Optimally and proactively connect with partners and senior management
Keep up with the industry trends, standards, and innovation in the Data Quality domain
**Youu2019ll need to have:**
4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
Understanding of ETL processes and broader data workflow engineering concepts
Up-to-date knowledge of events taking place in the financial markets
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**Weu2019d love to see:**
DAMA CDMP or DCAM certifications
Familiarity with Corporate Actions, Loans, Corporate Bonds
Project Management experience developed in a matrixed partner environment and cross-regional business
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 - 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.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**Whatu2019s the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clientsu2019 needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**Weu2019ll trust you to:**
Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
Perform data profiling and apply statistical methods to support data quality measurements
Optimally and proactively connect with partners and senior management
Keep up with the industry trends, standards, and innovation in the Data Quality domain
**Youu2019ll need to have:**
4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
Understanding of ETL processes and broader data workflow engineering concepts
Up-to-date knowledge of events taking place in the financial markets
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**Weu2019d love to see:**
DAMA CDMP or DCAM certifications
Familiarity with Corporate Actions, Loans, Corporate Bonds
Project Management experience developed in a matrixed partner environment and cross-regional business
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 - Loans
London, London
Bloomberg
Posted 2 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Loans
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.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
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
Data Quality Analyst
London, London
£400 - £500 Daily
Adecco
Posted 2 days ago
Job Viewed
Job Description
Job Title: Data Quality Analyst
Location: London (2 days per week on-site at Liverpool Street)
Contract: 6 months (via umbrella)
Rate: Competitive
Are you passionate about driving data accuracy and integrity in a fast-paced financial services environment? This is a fantastic opportunity to join a leading international bank at the forefront of data-led transformation. You'll be part of a growing Data Office that is shaping strategy, governance, and innovation across EMEA - making a real impact from day one.
The Role
As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy, completeness, and integrity of data across AML and Sanctions screening platforms. You will work closely with Financial Crime, Data Governance, Technology, and Risk teams to design and embed effective data quality controls, strengthen governance, and support regulatory compliance. This role offers the chance to directly contribute to critical transformation programmes within financial crime compliance.
Key Responsibilities
Design, build, and monitor Data Quality Rules within Collibra Data Quality (CDQ) for AML and Sanctions datasets.
Define and implement controls for key data elements (e.g. customer details, SWIFT/BIC, account data).
Validate data ingestion for AML/sanctions screening platforms, ensuring compliance and accuracy.
Conduct root cause analysis of data issues and support remediation strategies.
Maintain DQ-related metadata, issues, and reporting within Collibra and ServiceNOW.
Provide evidence of effective controls during regulatory reviews and audits.
Deliver dashboards and KPIs to track performance, ownership, and remediation progress.
Contribute to policy and framework development in Data Governance and Quality.
What We're Looking For
Proven experience in Data Quality, Data Governance, or Data Management within banking or financial crime compliance.
Hands-on expertise in Collibra Data Quality (CDQ), including rule building and monitoring.
Strong knowledge of AML, Sanctions, and KYC processes and relevant regulatory frameworks.
Technical proficiency in SQL for data validation and remediation.
Experience with AML/Sanctions platforms such as Actimize SAM or Fircosoft.
Understanding of data lineage, metadata, and critical data element frameworks.
Strong stakeholder engagement skills with the ability to partner across Compliance, Technology, Risk, and Audit.
Desirable: Experience in AML remediation programmes, Collibra certifications, ICA/ACAMS qualifications, and knowledge of reporting tools such as Tableau or Power BI.
Why Join?
This is a unique opportunity to be part of a fast-growing Data Office that has already scaled to 50+ professionals within three years - with further growth ahead. You'll gain exposure to cutting-edge data governance and transformation projects, work with diverse stakeholders, and be supported in developing your expertise.
Alongside a competitive package, you'll benefit from:
Hybrid and flexible working arrangements.
Comprehensive benefits to support physical and mental wellbeing.
Competitive leave allowances.
Access to world-class learning, development, and career progression opportunities.
A collaborative, inclusive, and dynamic working environment.
If you're motivated by challenge, enjoy solving complex data problems, and want to play a key role in shaping the future of data governance in financial services, we'd love to hear from you.
Note: This is a temporary position with the potential for extension based on performance and business needs.
Your Data Adventure Awaits!
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
This advertiser has chosen not to accept applicants from your region.
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6
Data Quality Specialist
Staffordshire, West Midlands
£35000 - £45000 Annually
Proftech Talent
Posted 13 days ago
Job Viewed
Job Description
Data Quality Specialist
Our client is seeking a Data Quality Specialist to join their team. This hands-on role will focus on ensuring product, marketing, and technical data is accurate, consistent, and up to date, playing a key part in supporting internal systems, customer platforms, and online presence. The successful candidate will work closely with teams across Technical, Commercial, Marketing, IT, and Development, acting as a bridge between departments to ensure data flows seamlessly from initial concept through to live product. This is an excellent opportunity for someone with strong attention to detail, advanced Excel skills, and experience working with structured data in environments such as manufacturing, distribution, or e-commerce.
As a Data Quality Specialist, you will need to have/be:
- Proven experience in recording, maintaining, and analysing complex datasets with a high level of accuracy.
- Strong knowledge of PIM (Product Information Management) systems and data management best practices.
- Advanced Microsoft Excel skills, including complex formulas, data manipulation, and reporting.
- Exceptional attention to detail with the ability to spot and resolve inconsistencies.
- Strong organisational skills with the ability to manage deadlines and balance multiple priorities.
- Effective communicator, able to present information clearly and confidently both verbally and in writing.
- Comfortable working with large datasets and translating data into meaningful insights.
- Self-motivated, enthusiastic, and committed to continuous learning and professional development.
- Collaborative team player with the ability to work independently and follow instructions reliably.
- Experience working in a product-led business
- Understanding of ERP and product data structure
- Previous experience working in manufacturing or distribution
- Knowledge of product attribute standards and industry codes
Details:
- Salary : 35, 000 - 45, 000
- Working Hours : Full time Monday - Friday
- Location : Tamworth (on site full time)
- Duration : Permanent
Role of Data Quality Specialist:
- Own and manage product data entry within an advanced Product Information Management (PIM) system.
- Act as a PIM super-user, driving adoption and serving as a key point of knowledge and support across the business.
- Apply strong analytical skills to cleanse, validate, and maintain datasets, ensuring accuracy, consistency, and reliability.
- Support the development and implementation of a Data Governance framework, setting standards for data quality and integrity.
- Collaborate with internal teams and external partners to identify opportunities for process improvement and enhanced user experience.
- Build and maintain a deep understanding of product ranges, supported by ongoing training and development.
- Create and manage output data channels to enable efficient communication and seamless data transfer across systems and stakeholders.
Benefits of working as a Data Quality Specialist:
- 23 days annual leave + bank holidays
- Option to purchase up to 5 extra days annual leave
- Health Cashback Plan
- Pension Scheme
- Life Assurance
- Free Parking
This advertiser has chosen not to accept applicants from your region.
7
Data Quality Analyst
Berkshire, South East
Project People
Posted 18 days ago
Job Viewed
Job Description
Data Quality Analyst
Contract - 12 Month FTC
Theale/Home
Join a leading UK mobile infrastructure company driving innovation and transformation. Since 2012, we've evolved rapidly-now we're looking for a Data Quality Analyst to help us deliver excellence through smarter data.
The Data Quality Analyst will lead the development of data quality reports, automate data processes, and support business teams in improving data accuracy. Acting as a key member of the BI team, you'll help shape our data strategy and governance.
Key Responsibilities of the Data Quality Analyst include:
- Deliver daily reports and enhance data governance controls
- Enforce data policies across ingestion, quality, and lifecycle management
- Maintain dashboards and remediation plans for data quality
- Collaborate with stakeholders to meet strategic data goals
- Apply governance frameworks and ensure accountability
The successful Data Quality Analyst will have:
- Proficient in BI tools (e.g., Power BI)
- Familiar with Agile and Waterfall methodologies
- Experience with metadata management, data catalogues, and stewardship tools
- Understanding of Master Data Management principles
Desirable
- Proven success in data governance programs
- Operational and change management experience
Ready to help shape the future of mobile infrastructure through data excellence? Apply today to (url removed)
Project People is acting as an Employment Business in relation to this vacancy.
This advertiser has chosen not to accept applicants from your region.
8
Data Quality Specialist
B77 Wilnecote, West Midlands
Proftech Talent
Posted today
Job Viewed
Job Description
Data Quality Specialist
Our client is seeking a Data Quality Specialist to join their team. This hands-on role will focus on ensuring product, marketing, and technical data is accurate, consistent, and up to date, playing a key part in supporting internal systems, customer platforms, and online presence. The successful candidate will work closely with teams across Technical, Commercial, Marketing, IT, and Development, acting as a bridge between departments to ensure data flows seamlessly from initial concept through to live product. This is an excellent opportunity for someone with strong attention to detail, advanced Excel skills, and experience working with structured data in environments such as manufacturing, distribution, or e-commerce.
As a Data Quality Specialist, you will need to have/be:
- Proven experience in recording, maintaining, and analysing complex datasets with a high level of accuracy.
- Strong knowledge of PIM (Product Information Management) systems and data management best practices.
- Advanced Microsoft Excel skills, including complex formulas, data manipulation, and reporting.
- Exceptional attention to detail with the ability to spot and resolve inconsistencies.
- Strong organisational skills with the ability to manage deadlines and balance multiple priorities.
- Effective communicator, able to present information clearly and confidently both verbally and in writing.
- Comfortable working with large datasets and translating data into meaningful insights.
- Self-motivated, enthusiastic, and committed to continuous learning and professional development.
- Collaborative team player with the ability to work independently and follow instructions reliably.
- Experience working in a product-led business
- Understanding of ERP and product data structure
- Previous experience working in manufacturing or distribution
- Knowledge of product attribute standards and industry codes
Details:
- Salary : 35, 000 - 45, 000
- Working Hours : Full time Monday - Friday
- Location : Tamworth (on site full time)
- Duration : Permanent
Role of Data Quality Specialist:
- Own and manage product data entry within an advanced Product Information Management (PIM) system.
- Act as a PIM super-user, driving adoption and serving as a key point of knowledge and support across the business.
- Apply strong analytical skills to cleanse, validate, and maintain datasets, ensuring accuracy, consistency, and reliability.
- Support the development and implementation of a Data Governance framework, setting standards for data quality and integrity.
- Collaborate with internal teams and external partners to identify opportunities for process improvement and enhanced user experience.
- Build and maintain a deep understanding of product ranges, supported by ongoing training and development.
- Create and manage output data channels to enable efficient communication and seamless data transfer across systems and stakeholders.
Benefits of working as a Data Quality Specialist:
- 23 days annual leave + bank holidays
- Option to purchase up to 5 extra days annual leave
- Health Cashback Plan
- Pension Scheme
- Life Assurance
- Free Parking
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