608 Data Professional jobs in the United Kingdom

Senior Data Management Professional - Data Science - Data Management Lab





Location





London





Business Area





Data





Ref #










**Description & Requirements**



Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.



The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.



As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.



**As a valued member of our team, weu2019ll trust you to:**


Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation



**Youu2019ll need to have a strong combination of the following:**



_*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 PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus



**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

Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*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 PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**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

Trainee Business Analyst Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first Business Analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, including business process modelling, stakeholder analysis, and requirements engineering, while building practical experience with real-world case studies. The programme includes earning BCS certification recognised by UK employers, expert tutor support throughout your studies, dedicated recruitment support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure business analyst roles within 3 months. Starting salaries: 30,000 40,000 Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Business Analysis? Limited spaces available. Apply now for the next available cohort.

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

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

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

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

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

Senior Data Management Professional - Data Product Owner - 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:**



The Bloomberg Data AI group brings innovative AI technologies into Bloombergu2019s Data organization while supplying deep financial domain expertise to the development of AI-powered products. Our team provides evaluation and annotation frameworks. We partner closely with team members to align AI innovation with Bloombergu2019s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloombergu2019s offerings.



**The Role:**



As a Data Product Owner, you will be responsible for providing subject matter expertise in fixed income data and annotation program management, to contribute to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems. You will be accountable for the overall value delivery of the fixed income annotated datasets u2014 ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability.



**Weu2019ll trust you to:**


Define the evaluation strategy for conversational systems focusing on the fixed income domain, ensuring alignment with market-specific nuances, end-users expectations and Bloomberg domain-specific strategy.
Own the end-to-end vision and roadmap for collecting evaluation datasets fit for the purpose of credit analysts workflows.
Drive discovery and prioritization efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements.
Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust.
Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance and integrity standards.
Stay up-to-date with industry trends and standard methodologies in generative AI, evaluation, data annotation and fixed income data management.
Collaborate cross-functionally with Product, Engineering, Data and other domain experts to steer a results-driven and scalable evaluation data strategy.



**Youu2019ll need to have:**



*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.


4+ years of recent work experience in the financial services industry, focusing on Fixed Income
Strong understanding of credit analyst workflows and data needs
Demonstrated experience in data management concepts, for example in improving data accuracy, completeness or timeliness
A proven track record of successful project management skills and ability to prioritize tasks accordingly
Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product
Customer-focused approach and the ability to interact with a diverse range of clients
Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems



**Weu2019d Love to See:**


Knowledge of Python and SQL
DAMA CDMP or DCAM certifications
Keen interest and familiarity with generative AI frameworks
Experience in semantic structures or data modeling
Experience using data visualization tools such as Tableau, QlikSense, or Splunk

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