494 Data Professional jobs in the United Kingdom

Senior Data Management Professional - Data Engineer - EVTS
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
The Events & Transcripts (EVTS) Data team operates at the intersection of Product, Engineering, and AI, delivering market-critical data that powers Bloomberg's Corporate Events and Transcripts product EVTS. From earnings calls and shareholder meetings to product launches and conferences, we maintain a global, centralized calendar of market-moving events enriched with transcripts and AI-driven insights.
Our data is embedded in the daily workflows of analysts, traders, and quantitative analysts who depend on accuracy, timeliness, and coverage to act on market-moving signals. We combine scalable ETL pipelines with human-in-the-loop curation to handle the full data lifecycle, ensuring our content meets the highest standards of quality and reliability.
**What's the role?**
Events & Transcripts (EVTS) Data team is seeking a highly motivated Data Engineer with a passion for finance, data, and technology to build and optimize pipelines that power Bloomberg's corporate events and transcripts products. You will be a technical leader, responsible for devising scalable solutions that enhance the accuracy, timeliness, and integrity of our datasets while enabling automation and driving client impact.
In this role, you will be responsible for the transformation, and distribution of structured and unstructured data across EVTS Calendar and Streaming Products. Working closely with Product, Engineering, AI, and Data Technologies, you will modernize our workflows to deliver fit-for-purpose data that underpins critical market workflows.
**We'll Trust You To:**
- Design, build, and maintain robust, scalable data pipelines that support ingestion, transformation, and delivery of large, complex datasets using Bloomberg's Data Technologies stack (Dataflow Recipes) or equivalent frameworks (AWS S3, Lambda, Kafka, Apache Airflow, Python)
- Acquire and normalize data from diverse structured and unstructured sources, expanding coverage and ensuring transparency in how data is collected, enriched, and delivered.
- Analyze and improve internal processes, applying programmatic and machine learning approaches to increase efficiency and automation.
- Design and implement Control frameworks, applying statistical methods and data profiling to identify, validate, and resolve data gaps at scale.
- Collaborate with Engineering, AI, and Product partners to enhance Data Ingestion pipelines, integrate AI driven automation, and deliver scalable, client-ready datasets.
- Lead modernization efforts to evolve EVTS data workflows, ensuring interoperability across systems and enabling broader reuse of data assets.
- Safeguard the creation of high-quality training data for Generative AI extraction models in collaboration with SMEs/AI Engineering.
- Mentor peers and supply technical leadership, guiding design decisions and fostering knowledge-sharing across the team.
- Stay ahead of industry standard methodologies in data engineering, AI-driven automation frameworks to drive continuous improvement.
- Work in a fast-paced, complex, and collaborative setting and be ready to take a hands-on-role in our Data initiatives.
**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.
- BA/BS degree or higher in Computer Science, Statistics, Finance, Data Analytics, or a related STEM/business field, or equivalent professional work experience.
- 3+ years of experience in data quality management, data engineering, or data profiling, ideally within financial data, market research, or technology domains.
- Strong proficiency in Python with hands-on experience manipulating and analyzing large datasets.
- Familiarity with ETL workflows, APIs, and data engineering concepts, with the ability to work across distributed systems.
- Demonstrated expertise in data engineering, with a consistent record of implementing scalable ETL pipelines and data workflows.
- Proven track record to analyze client workflows and dataset usage to ensure data is fit-for-purpose and aligned with business needs.
- Demonstrated expertise in data management principles - including data quality, governance, anomaly detection, and lifecycle management.
- Excellent analytical and problem-solving skills, with the ability to apply quantitative methods to improve processes and guide decisions.
- Strong project management and collaboration skills, with experience leading multi-functional initiatives in fast-paced, global environments.
- Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
We'd Love to See:
- 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.
- Experience working within an Agile/Scrum development methodology, with the ability to adapt processes for data engineering and quality initiatives.
- Experience manipulating and wrangling large datasets to enable scalable quality checks, enrichment, and automation.
**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!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 - Loans
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**The Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
Does this sound like you? Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 - EVTS
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
The Events & Transcripts (EVTS) Data team operates at the intersection of Product, Engineering, and AI, delivering market-critical data that powers Bloomberg's Corporate Events and Transcripts product EVTS. From earnings calls and shareholder meetings to product launches and conferences, we maintain a global, centralized calendar of market-moving events enriched with transcripts and AI-driven insights.
Our data is embedded in the daily workflows of analysts, traders, and quantitative analysts who depend on accuracy, timeliness, and coverage to act on market-moving signals. We combine scalable ETL pipelines with human-in-the-loop curation to manage the full data lifecycle, ensuring our content meets the highest standards of quality and reliability.
**What's the role?**
We are seeking a Data Product Owner who will own our Transcripts product end-to-end. This role is at the center of Bloomberg's innovation strategy, balancing client needs, AI-driven transcription capabilities, and running vendor partnerships to deliver real-time, high-quality market-moving data.
Working with leaders across teams, you will define the product roadmap and deliverables, crafting the design, implementation, and reporting of fit-for-purpose client and data solutions. You will function as a central point of contact across teams, maintaining a clear roadmap of commitments, and ensuring alignment with market trends and client expectations. Beyond transcripts, you will also lead the automation of third-party integrations for Corporate Events (EVTS Calendar), growing global coverage and reinforcing Bloomberg's leadership in events data.
**We'll trust you to:**
- Own and drive the Streaming Transcripts roadmap, defining and driving product strategy in collaboration with Product, Engineering, AI, Multimedia, and Speech partners.
- Engage with clients, market participants, and internal partners to bring together evolving needs for real-time transcripts and translate them into actionable roadmap priorities.
- Define what a fit-for-purpose transcripts product looks like, establishing health metrics-such as accuracy, timeliness, coverage, and vendor performance-that are continuously measured and clearly reported.
- Define, track, and report on objectives and key results that directly tie transcript and events product performance to measurable client outcomes - driving adoption, business impact, and long-term success.
- Evaluate and supervise ASR (Speech-to-Text) model performance through backtesting and boosting, setting standardized quality metrics that align with our State of Data pillars.
- Lead the design, evolution, and evaluation of our datasets, ensuring interoperability across systems and alignment with client workflows.
- Research and evaluate new datasets and emerging technologies, finding opportunities to expand coverage, improve automation, and strengthen transcripts and events workflows.
- Effectively lead projects and deliverables, applying structured execution rigor while bringing creativity and flexibility to problem-solving.
- Influence and align partners, communicating data vision, strategic priorities, and execution plans across cross-functional teams.
- Establish vendor management frameworks, negotiating contracts, optimizing pricing strategies, and ensuring vendors deliver on cost, quality, and service expectations.
- Drive automation initiatives for EVTS Calendar Data, building partnerships with global exchanges and third-party providers to expand structured event coverage.
**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.
- Bachelor's Degree or equivalent professional work experience.
- 4+ years of proven experience in product ownership, data management, or similar roles.
- Strong understanding of speech-to-text/ASR technology and experience evaluating model performance, quality metrics, and backtesting frameworks.
- A solid grasp of data management principles and proven examples of data analysis, data governance, and data modeling to tell a narrative and/or generate data-driven insights.
- Strong attention to detail and high degree of demonstrated decision-making and problem-solving skills in a fast-paced, constantly evolving environment.
- Consistent track record to establish strong credibility and build influential relationships with multiple internal and external clients and partners, both written and verbal at a global level.
- Project Management experience, leading the execution of tasks both independently and collectively with a group.
- Understanding of quality assurance and quality control from a data and product perspective.
- Experience using data visualization tools such as QlikSense, Tableau.
**We'd love to see:**
- Master's degree in relevant field and/or CFA designation.
- Familiarity with Speech-to-Text (ASR) platforms and evaluation frameworks, with awareness of industry trends in streaming transcription.
- Experience with data governance, quality frameworks, and metadata management
- A keen interest in AI and automation technologies, including LLM-based solutions, and their application to real-time market data.
- Certifications in Project Management (PMP, CSM) or Data Management (CDMP, DAMA) that demonstrate structured delivery and Data Management expertise.
**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!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 - Classifications
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 a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, deep domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape.
**Our Team:**
The Classifications team is responsible for creating and maintaining the classifications that organize companies and securities into peer groups based on similar business activities and risks. These classifications form the foundation for peer group analysis, benchmarking, and market trend evaluation. When clients compare investment opportunities, evaluate sector exposures, or analyze historical performance, classification data provides the consistent framework that makes these insights possible.
**We enable clients to:**
+ Assess how global, regional, or local industry trends affect portfolios
+ Compare and report on sector exposures versus peers and benchmarks
+ Identify investment opportunities across developed and emerging markets
+ Analyze sector and industry contributions to portfolio performance
+ Build consistently defined, sector-based investment and rotation strategies
**The Role:**
We are seeking a Data Product Owner to lead the strategy, development, and evolution of Bloomberg's Private Company Classifications. You will be responsible for maximizing the value of this dataset-ensuring it meets client needs, supports internal product goals, and upholds Bloomberg's standards for quality, transparency, and usability.
You will manage the roadmap for private company classifications, balancing near-term enhancements with long-term innovation. Partnering with Engineering, Data, and Product teams, you will modernize the dataset, improve delivery mechanisms, and unlock advanced analytical capabilities across Bloomberg platforms.
**We'll trust you to:**
+ Own the end-to-end strategy and roadmap for private companies' classification data, balancing technical modernization with business impact.
+ Define and communicate the vision for a fit-for-purpose classification product aligned with evolving industry use cases
+ Lead discovery and prioritization to assess dataset needs, quality, and expansion opportunities
+ Translate client and internal feedback into actionable requirements with clear acceptance criteria
+ Collaborate with Engineering and Product to deliver iterative improvements, manage dependencies, and ensure scalability
+ Define and supervise data quality metrics such as completeness, recency, accuracy, and availability.
+ Advocate for the role of classification data across Bloomberg, driving adoption and enabling better client experiences
**You'll need to have:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ 4+ years of experience in financial data, with deep knowledge of classification data and its applications in financial markets
+ Awareness of emerging trends in private markets and the complexities of non-public company structures
+ Proven experience as a Data Product Owner or Product Manager working with large-scale datasets or platforms.
+ Ability to define and communicate a compelling data product vision across technical and non-technical audiences
+ Experience building product roadmaps, managing backlogs, and leading cross-functional delivery in Agile or hybrid environments
+ Strong data-driven decision-making skills, with comfort using metrics to guide prioritization and measure success
+ Excellent collaboration and communication skills, with experience influencing across Product, Engineering, and Data teams
+ Ability to bring clarity and structure to complex, evolving problem spaces
**We'd love to see:**
+ Experience with data governance, quality frameworks, and metadata management
+ Familiarity with modern data infrastructure, including APIs, data pipelines, and machine learning or LLM-based enrichment solutions
+ Knowledge of financial workflows that rely on accurate classification data (e.g., portfolio construction, risk management, compliance)
+ Background in private company data or emerging market analytics
**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!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 is a remote position.

We are seeking a detail-oriented Financial data entry professional to join our organization. As a Data Entry Professional, you will play a vital role in maintaining the accuracy and integrity of our company's data. You will collaborate closely with various departments within the organization, ensuring that information is entered correctly and efficiently. In this role of Data Entry, you will be given the opportunity to contribute to the growth and success of our company by ensuring that our data is up-to-date and reliable. As we continue to expand, there will be ample opportunities for your career advancement and professional development.

Location: United States (Remote) Responsibilities: As a Financial Data Entry Professional, your duty will be to accurately enter data into our database using various input devices and software applications. We expect you to verify the accuracy of the entered data by comparing it with source documents. You shall prepare and sort documents for data entry, ensuring proper organization and efficiency as a Data Entry Professional. We expect you to review and correct any errors or discrepancies in data entries, flagging issues as necessary Uses conventional procedures to fix errors or send the team leader the incomplete documents so they can be finished Your responsibility as a Data Entry Professional includes maintaining the confidentiality and security of all data entered and following established protocols and procedures. Requirements: We expect you to be proficient in using data entry software and tools like Microsoft Excel or Google Sheets. You should have excellent attention to detail and accuracy, ensuring that all entered data is correct We require you to possess basic knowledge of database systems and experience in inputting data into databases accurately You need to be highly organized and able to manage large volumes of data efficiently and on time. As a Data Entry Specialist, you should be vigilant about quality control Qualifications: High school diploma or equivalent. Familiarity with data analysis tools like Microsoft Excel, Google Sheets, or database management software Skills in data cleaning and transformation techniques, such as data normalization or data deduplication Benefits: Competitive salary and benefits package. Opportunities for career growth and development. Dynamic and collaborative work environment. If you’re meticulous with numbers and thrive on accuracy, we invite you to apply for the Financial Data Entry Professional position. Join our finance team and play a key role in maintaining precise and reliable financial records. Requirements

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 - 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 Bloomberg's 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 Bloomberg's 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 Bloomberg's 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 - 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.
**We'll 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.
**You'll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ 4+ years of 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
**We'd 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
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 - Entities Data
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 a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, deep domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape.
**Our Team:**
The Entities Data team is responsible for Bloomberg's core entity and issuer reference data-a foundational component of the financial data ecosystem. Entity data uniquely identifies and defines legal and operating entities such as public and private companies, government bodies, investment vehicles, and corporate structures. It provides critical linkages between datasets and is crucial for use cases including regulatory compliance, risk modeling, investment analysis, counterparty exposure, and ownership research.
This data powers a wide range of financial applications-from mapping issuers to securities and understanding corporate hierarchies, to identifying exposure to private market entities and aggregating risk at the parent or group level. Maintaining accurate, timely, and scalable entity data is crucial for client trust and operational efficiency, and as such, we are undergoing a strategic modernization of our platform to support new capabilities and emerging market needs.
**The Role:**
We are seeking a Data Product Owner to lead the strategy, development, and evolution of Bloomberg's Entity and Issuer data products. You will be accountable for the overall value delivery of the dataset-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.
You will evaluate and prioritize improvements to the dataset based on feedback from clients, internal consumers, and subject matter experts. You will create and maintain a comprehensive delivery roadmap that balances short-term enhancements with long-term innovative goals. Working in close partnership with Engineering, Data, and Product Management teams, you'll drive initiatives that modernize the dataset, improve delivery mechanisms, and support advanced analytical capabilities across platforms.
**We'll trust you to:**
+ Own the end-to-end strategy and roadmap for the Entity data, balancing technical modernization with business impact.
+ Define the vision of what a fit-for-purpose Entity data product looks like and ensure its continuous alignment with evolving industry use cases.
+ Lead discovery and prioritization activities to evaluate dataset needs-including structural, quality, coverage, and delivery enhancements.
+ Translate internal and external clients feedback into actionable product requirements and define acceptance criteria for new features.
+ Coordinate with Engineering and Core Product to deliver iterative improvements, manage technical dependencies, and ensure high performance and scalability.
+ Define and supervise data product health metrics such as completeness, freshness, linkages, and fitness for consumption.
+ Champion the importance of Entity data across Bloomberg, helping internal teams design and deliver better data experiences.
+ Stay current on market trends, regulatory changes related to reference data and entity resolution.
**You'll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ 4+ years* working within the domain of financial data, with domain knowledge of Entity and Reference Data, including how it is built, maintained, and consumed in financial markets.
+ Proven experience as a Data Product Owner or Product Manager working with large-scale datasets or data platforms.
+ The ability to define a data product vision and communicate it clearly across technical and non-technical partners.
+ Experience developing product roadmaps, managing backlogs, and leading cross-functional delivery in Agile or hybrid environments.
+ A data-driven approach with comfort using metrics to assess product performance and guide prioritization.
+ Strong collaboration and communication skills, with a track record of leading across Product, Engineering, and Data teams.
+ Experience navigating ambiguity and delivering structure to complex, evolving domains.
**We'd love to see:**
+ Experience with data governance, quality frameworks, and metadata management.
+ Understanding of third-party entity data providers and integration strategies.
+ Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions.
+ Awareness of emerging trends in Private Markets data and the growing complexity of non-public entity structures.
+ Familiarity with financial workflows that rely on accurate entity data, such as client onboarding, compliance, KYC, counterparty risk, and issuer classification.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 Engineer - Company Financials Market Data
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.
**Our Team:**
The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.
**What's the role?**
The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.
**We'll trust you to:**
+ Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
+ Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
+ Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
+ Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
+ Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
+ Develop interconnected data models that enable analysis across datasets and develop statistical analysis.
**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.
+ Minimum 4+ years* of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
+ Demonstrated experience working with Python in development or production environment
+ Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
+ Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
+ Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
+ Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
+ Demonstrated continuous career growth within an organization
+ Excellent written and verbal communication skills
**We would love to see:**
+ Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
+ Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
+ Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
+ Experience designing optimal database structures
**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.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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 Engineer - Alternative Investment Funds
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data, and the Bloomberg Data team is responsible for supplying it. The Bloomberg Data department is responsible for sourcing, processing, and analyzing the data that is the backbone of our iconic Bloomberg Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our data, systems, products and processes while providing platinum customer support to our clients.
Our Team
Whether a fund investor, manager or advisor, Bloomberg has the data, solutions and industry network to help our clients take their fund and company analysis to the next level. The Alternative Investments data team is made up of market specialists and technologists with a passion for private markets, from fund launch to liquidation, seed round to IPO and all the data in between.
What's the role?
The Alternative Investment Funds Automation team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We'll trust you to:
+ Develop systematic strategies to analyse current processes, identify data quality gaps, and scale best practices
+ Lead the execution of data quality initiatives, best practices, and projects across global teams
+ Partner with Engineering and Product teams to embed data quality strategies into product and engineering roadmaps
+ Foster a product culture where data quality insights are discoverable, actionable, and transparent
+ Apply domain expertise to guide product and engineering decisions, ensuring high-quality outputs
+ Use technology and technical skills to drive systematic data quality assurance
+ Apply advanced data analysis skills to identify trends, patterns, and anomalies, informing data quality approaches
+ Stay current with internal best practices, industry standards, and innovations in data quality
+ Act as a hands-on owner in quality projects and product coordination, collaborating with Technical Specialists, Engineers, and Product Managers as needed
You'll need to have:
+ Bachelor's degree in Statistics, Data Analytics, Data Science, or another STEM-related field
+ Minimum of 4 years of experience* in data management concepts such as data quality, random sampling, and data modeling
+ Proven experience analyzing financial datasets or applying financial market concepts
+ Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL
+ Strong ability to communicate results clearly and concisely through data visualization tools
+ Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems
_*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role*_
We'd love to see:
+ Experience in data science, technical consulting or the financial industry
+ Master's or PhD in a relevant field
+ Certification such as a CFA charter holder or CAIA
+ Familiarity with Agile or Scrum project management methodologies
+ Experience using data analysis and visualization tools such as Tableau or QlikSense
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
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