185 Data Stewardship jobs in the United Kingdom
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 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 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 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 16 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 - Sustainable Finance Data
London, London
Bloomberg
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Sustainable Finance Data
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data and data drives the market. At Bloomberg, 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, weu2019re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.
Sustainable finance data (SFD) is increasingly crucial for our clients u2013 providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
As a team, we are responsible for managing and enhancing Environmental, Social, and Governance data (ESG)-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate sustainability risk and opportunity analysis into their workflows.
The Role:
The ESG Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices around material matters. 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:
Responsible for defining the data quality vision and orchestrating associated strategy for a suite of as reported Environmental, Social, and Governance data as well as derived products, such as ESG Scores
Understand Bloombergu2019s commercial strategy for Environmental, Social, and Governance data for a suite of derived products, such as ESG Scores to ensure we deliver high quality data products that address existing use-cases
Collaborate with the Engineering and Product on enhancing workflows and potential derived products like indices, data license files, etc
Understand how different clients use their products/datasets, as exposed via different client interfaces (e.g. Terminal, BQL, Enterprise), in order to maintain up-to-date assessments of clients' needs, expressed as fit-for-purpose target metrics
Perform data analysis of for Environmental, Social, and Governance data as well as a suite of derived products, such as ESG Scores and related data sets, including data profiling and root cause analysis to validate approach via objective data driven decision making
Ideate and implement scalable solutions while working with a variety of stakeholders across the Data department
Keep up with the industry trends, standards, and innovation in the data management domain
Work in a fast-paced, multifaceted, and collaborative setting
Youu2019ll need to have:
A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics or Environmental Science, or equivalent professional work experience
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, Dataflow Recipes, and broader data workflow engineering concepts
Sound understanding of data quality as a domain of data management
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Excellent written and verbal communication skills, in combination with excellent attention to detail and problem-solving skills
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
Solid ability to combine technical skills with business insight
Weu2019d love to see:
Strong interest and proven work experience in the ESG market and sustainability related topics
Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
Experience using data analysis and visualization tools such as Tableau or QlikSense
Good understanding of data modeling concepts
Experience manipulating and wrangling large datasets
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
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 data drives the market. At Bloomberg, 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, weu2019re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.
Sustainable finance data (SFD) is increasingly crucial for our clients u2013 providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
As a team, we are responsible for managing and enhancing Environmental, Social, and Governance data (ESG)-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate sustainability risk and opportunity analysis into their workflows.
The Role:
The ESG Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices around material matters. 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:
Responsible for defining the data quality vision and orchestrating associated strategy for a suite of as reported Environmental, Social, and Governance data as well as derived products, such as ESG Scores
Understand Bloombergu2019s commercial strategy for Environmental, Social, and Governance data for a suite of derived products, such as ESG Scores to ensure we deliver high quality data products that address existing use-cases
Collaborate with the Engineering and Product on enhancing workflows and potential derived products like indices, data license files, etc
Understand how different clients use their products/datasets, as exposed via different client interfaces (e.g. Terminal, BQL, Enterprise), in order to maintain up-to-date assessments of clients' needs, expressed as fit-for-purpose target metrics
Perform data analysis of for Environmental, Social, and Governance data as well as a suite of derived products, such as ESG Scores and related data sets, including data profiling and root cause analysis to validate approach via objective data driven decision making
Ideate and implement scalable solutions while working with a variety of stakeholders across the Data department
Keep up with the industry trends, standards, and innovation in the data management domain
Work in a fast-paced, multifaceted, and collaborative setting
Youu2019ll need to have:
A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics or Environmental Science, or equivalent professional work experience
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, Dataflow Recipes, and broader data workflow engineering concepts
Sound understanding of data quality as a domain of data management
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Excellent written and verbal communication skills, in combination with excellent attention to detail and problem-solving skills
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
Solid ability to combine technical skills with business insight
Weu2019d love to see:
Strong interest and proven work experience in the ESG market and sustainability related topics
Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
Experience using data analysis and visualization tools such as Tableau or QlikSense
Good understanding of data modeling concepts
Experience manipulating and wrangling large datasets
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
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 - Sustainable Finance Data
London, London
Bloomberg
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Sustainable Finance Data
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data and data drives the market. At Bloomberg, 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, weu2019re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.
Sustainable finance data (SFD) is increasingly crucial for our clients u2013 providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
As a team, we are responsible for managing and enhancing Environmental, Social, and Governance data (ESG)-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate sustainability risk and opportunity analysis into their workflows.
The Role:
The ESG Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices around material matters. 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:
Responsible for defining the data quality vision and orchestrating associated strategy for a suite of as reported Environmental, Social, and Governance data as well as derived products, such as ESG Scores
Understand Bloombergu2019s commercial strategy for Environmental, Social, and Governance data for a suite of derived products, such as ESG Scores to ensure we deliver high quality data products that address existing use-cases
Collaborate with the Engineering and Product on enhancing workflows and potential derived products like indices, data license files, etc
Understand how different clients use their products/datasets, as exposed via different client interfaces (e.g. Terminal, BQL, Enterprise), in order to maintain up-to-date assessments of clients' needs, expressed as fit-for-purpose target metrics
Perform data analysis of for Environmental, Social, and Governance data as well as a suite of derived products, such as ESG Scores and related data sets, including data profiling and root cause analysis to validate approach via objective data driven decision making
Ideate and implement scalable solutions while working with a variety of stakeholders across the Data department
Keep up with the industry trends, standards, and innovation in the data management domain
Work in a fast-paced, multifaceted, and collaborative setting
Youu2019ll need to have:
A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics or Environmental Science, or equivalent professional work experience
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, Dataflow Recipes, and broader data workflow engineering concepts
Sound understanding of data quality as a domain of data management
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Excellent written and verbal communication skills, in combination with excellent attention to detail and problem-solving skills
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
Solid ability to combine technical skills with business insight
Weu2019d love to see:
Strong interest and proven work experience in the ESG market and sustainability related topics
Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
Experience using data analysis and visualization tools such as Tableau or QlikSense
Good understanding of data modeling concepts
Experience manipulating and wrangling large datasets
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
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 data drives the market. At Bloomberg, 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, weu2019re responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.
Sustainable finance data (SFD) is increasingly crucial for our clients u2013 providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
As a team, we are responsible for managing and enhancing Environmental, Social, and Governance data (ESG)-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate sustainability risk and opportunity analysis into their workflows.
The Role:
The ESG Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices around material matters. 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:
Responsible for defining the data quality vision and orchestrating associated strategy for a suite of as reported Environmental, Social, and Governance data as well as derived products, such as ESG Scores
Understand Bloombergu2019s commercial strategy for Environmental, Social, and Governance data for a suite of derived products, such as ESG Scores to ensure we deliver high quality data products that address existing use-cases
Collaborate with the Engineering and Product on enhancing workflows and potential derived products like indices, data license files, etc
Understand how different clients use their products/datasets, as exposed via different client interfaces (e.g. Terminal, BQL, Enterprise), in order to maintain up-to-date assessments of clients' needs, expressed as fit-for-purpose target metrics
Perform data analysis of for Environmental, Social, and Governance data as well as a suite of derived products, such as ESG Scores and related data sets, including data profiling and root cause analysis to validate approach via objective data driven decision making
Ideate and implement scalable solutions while working with a variety of stakeholders across the Data department
Keep up with the industry trends, standards, and innovation in the data management domain
Work in a fast-paced, multifaceted, and collaborative setting
Youu2019ll need to have:
A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics or Environmental Science, or equivalent professional work experience
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, Dataflow Recipes, and broader data workflow engineering concepts
Sound understanding of data quality as a domain of data management
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Excellent written and verbal communication skills, in combination with excellent attention to detail and problem-solving skills
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
Solid ability to combine technical skills with business insight
Weu2019d love to see:
Strong interest and proven work experience in the ESG market and sustainability related topics
Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
Experience using data analysis and visualization tools such as Tableau or QlikSense
Good understanding of data modeling concepts
Experience manipulating and wrangling large datasets
Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
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 - Sustainable Finance Data
London, London
Bloomberg
Posted 1 day ago
Job Viewed
Job Description
Senior Data Management Professional - Data Quality - Sustainable Finance Data
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data and data drives the market. At Bloomberg, 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're responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.
Sustainable finance data (SFD) is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
As a team, we are responsible for managing and enhancing Environmental, Social, and Governance data (ESG)-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate sustainability risk and opportunity analysis into their workflows.
The Role:
The ESG Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices around material matters. 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:
+ Responsible for defining the data quality vision and orchestrating associated strategy for a suite of as reported Environmental, Social, and Governance data as well as derived products, such as ESG Scores
+ Understand Bloomberg's commercial strategy for Environmental, Social, and Governance data for a suite of derived products, such as ESG Scores to ensure we deliver high quality data products that address existing use-cases
+ Collaborate with the Engineering and Product on enhancing workflows and potential derived products like indices, data license files, etc
+ Understand how different clients use their products/datasets, as exposed via different client interfaces (e.g. Terminal, BQL, Enterprise), in order to maintain up-to-date assessments of clients' needs, expressed as fit-for-purpose target metrics
+ Perform data analysis of for Environmental, Social, and Governance data as well as a suite of derived products, such as ESG Scores and related data sets, including data profiling and root cause analysis to validate approach via objective data driven decision making
+ Ideate and implement scalable solutions while working with a variety of stakeholders across the Data department
+ Keep up with the industry trends, standards, and innovation in the data management domain
+ Work in a fast-paced, multifaceted, and collaborative setting
You'll need to have:
+ A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics or Environmental Science, or equivalent professional work experience
+ 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, Dataflow Recipes, and broader data workflow engineering concepts
+ Sound understanding of data quality as a domain of data management
+ A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Excellent written and verbal communication skills, in combination with excellent attention to detail and problem-solving skills
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
+ Solid ability to combine technical skills with business insight
We'd love to see:
+ Strong interest and proven work experience in the ESG market and sustainability related topics
+ Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
+ Good understanding of data modeling concepts
+ Experience manipulating and wrangling large datasets
+ Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
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 data drives the market. At Bloomberg, 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're responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.
Sustainable finance data (SFD) is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, Sustainable finance data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.
As a team, we are responsible for managing and enhancing Environmental, Social, and Governance data (ESG)-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate sustainability risk and opportunity analysis into their workflows.
The Role:
The ESG Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices around material matters. 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:
+ Responsible for defining the data quality vision and orchestrating associated strategy for a suite of as reported Environmental, Social, and Governance data as well as derived products, such as ESG Scores
+ Understand Bloomberg's commercial strategy for Environmental, Social, and Governance data for a suite of derived products, such as ESG Scores to ensure we deliver high quality data products that address existing use-cases
+ Collaborate with the Engineering and Product on enhancing workflows and potential derived products like indices, data license files, etc
+ Understand how different clients use their products/datasets, as exposed via different client interfaces (e.g. Terminal, BQL, Enterprise), in order to maintain up-to-date assessments of clients' needs, expressed as fit-for-purpose target metrics
+ Perform data analysis of for Environmental, Social, and Governance data as well as a suite of derived products, such as ESG Scores and related data sets, including data profiling and root cause analysis to validate approach via objective data driven decision making
+ Ideate and implement scalable solutions while working with a variety of stakeholders across the Data department
+ Keep up with the industry trends, standards, and innovation in the data management domain
+ Work in a fast-paced, multifaceted, and collaborative setting
You'll need to have:
+ A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics or Environmental Science, or equivalent professional work experience
+ 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, Dataflow Recipes, and broader data workflow engineering concepts
+ Sound understanding of data quality as a domain of data management
+ A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Excellent written and verbal communication skills, in combination with excellent attention to detail and problem-solving skills
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
+ Solid ability to combine technical skills with business insight
We'd love to see:
+ Strong interest and proven work experience in the ESG market and sustainability related topics
+ Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts (BMC) certification
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
+ Good understanding of data modeling concepts
+ Experience manipulating and wrangling large datasets
+ Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
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 Management Intern
Westerham, South East
Bombardier
Posted 12 days ago
Job Viewed
Job Description
Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
This advertiser has chosen not to accept applicants from your region.
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6
Data Management Graduate
Dundee, Scotland
Escape Recruitment Services
Posted today
Job Viewed
Job Description
Temporary 6 Month Contract We're working with a global corporate manufacturing organisation who have an immediate requirement for a Data Management Graduate to support a large-scale project. This role is offered on a temporary basis estimated to last 6 months. You will be based onsite at the site in Dundee. Key Responsibilities: Support an extensive data cleansing exercise Input technical and financial data and documentation into the database Carry out data quality checks to ensure accuracy Work with internal teams to collect required data Provide updates to stakeholders on project milestones and progress Contribute to the development of improved data management processes and procedures What we're looking for: Degree in a relevant subject such as Data Analytics, Business, Marketing, Economics, Supply Chain or similar Strong attention to detail and accuracy when handling large volumes of data Confident research, analysis, and information delivery skills Excellent written and verbal communication, including virtual collaboration with global colleagues Strong IT skills in MS Office (Word, Excel, PowerPoint, Outlook); experience with CRM, databases, or ERP systems would be an advantage, although training will be provided This is an excellent opportunity for a graduate looking to gain hands-on experience in data management within a prestigious international organisation.
This advertiser has chosen not to accept applicants from your region.
7
Data Management Coordinator
Derby, East Midlands
Premier Group
Posted today
Job Viewed
Job Description
Data Management Coordinator - Ecommerce, Product Listings Based in Derby - on-site Salary - £30,000- £3,000 depending on experience Our client is looking for a Data Management Coordinator to help maintain the integrity and accuracy of product data. You will manage product listings across multiple sites and sales channels while accurately recording and keeping the information current on the PIM system. You will aim to improve efficiencies within the PIM and work with the Commercial Team to ensure the product listings are updated and continuously improved. Key Responsibilities: Maintain product listing in the PIM system Communicate with vendors on products Management of retail price across sales channels Maintain a uniform approach to product listings Continuous improvement of product listings Quality control/assurance of data loaded into the PIM Management of product lifecycle Key Skills: Familiar with PIM/CRM Systems desired Experience with eCommerce platforms beneficial Data focused mindset Strong MS and excel skills Strong communication A problem-solver with an inquisitive nature This role is based in Derby on-site and for the successful Data Management Coordinator they are offering a salary of up to 3,000 depending on experience. If you are interested then please apply today!
This advertiser has chosen not to accept applicants from your region.
8
Director Data Management
London, London
Anson McCade
Posted today
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Job Description
Director of Data Architecture Location: London (Hybrid Working) Job Type: Permanent Salary: Up to £140,000 Bonus We have an exciting opportunity for a Director of Data Architecture to join a leading consultancy and play a pivotal role as the number two leader within their growing Data Practice. This is a high-impact leadership role requiring a blend of strategic pre-sales expertise, client engagement, and team leadership to drive large-scale data transformation programmes across multiple industries. As a Director of Data Architecture , you’ll lead end-to-end bid and pre-sales efforts, shaping enterprise-level data solutions, building consensus between sales and delivery teams, and ensuring financial alignment. You’ll act as a trusted advisor to clients, presenting at senior levels, while also driving internal practice development, mentoring senior data architects, and managing other Directors within the practice. Key Skills & Expertise: Proven experience as a Data Architecture Leader or Director Extensive expertise in bids and pre-sales, including end-to-end solution design, pricing, and delivery alignment Ability to bridge the gap between sales and delivery, balancing cost, risk, and solution integrity Strong experience presenting to C-level stakeholders and leading complex client engagements Demonstrated success in practice development, coaching and managing senior architects and cross-functional teams Strong consulting background within large-scale data transformation programmes Previous experience within top-tier consulting firms, systems integrators, or data-driven organisations highly desirable You’ll Enjoy: 20% annual bonus £5,000 car allowance High-level exposure across enterprise-scale client programmes Opportunity to influence and shape a growing, high-performing data practice Hybrid working, with a London base required for regular client and leadership engagements If you’re an experienced Director of Data Architecture with strong pre-sales expertise, client leadership skills, and practice development experience, this is your opportunity to join a fast-growing consultancy at the forefront of data-driven transformation. To apply, contact Declan Bryson at Anson McCade on or email , quoting reference AMC/DB/DDA/09 .
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