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Team Lead, Equity Data License Content - Enterprise Data Product Bloomberg - London, GBR Posted ...

Posted 1 hour 48 minutes ago by Bloomberg L.P.

Permanent
Full Time
Other
England, United Kingdom
Job Description

Team Lead, Equity Data License Content - Enterprise Data Product

Location

London

Business Area

Product

Ref #

Description & Requirements

We are Bloomberg Enterprise Data - fast-paced, innovative, and expanding! We partner closely with our clients, taking time to understand their unique businesses, individual data, and financial technology (FinTech) needs. Our extensive selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling, enables our clients to get the exact data they need, when they need it, in the format they prefer. Put simply, our award-winning data helps power the capital markets.

Bloomberg's Enterprise Data business continues to be a market leader when it comes to providing enterprise content for the financial services industry. Our offering includes best-in-class enterprise data and delivery via a fully managed platform. Our committed customer base values the quality of our content, completeness of coverage, data delivery, technology, tools, and high-touch client service model.

Equity Reference Data Team

Our Equity Reference Data solutions are foundational to the success of Bloomberg's Enterprise Content business. We have built a best-in-class data offering that meets client demand across global equity markets. Equity reference data underpins a wide range of workflows across investment, risk, regulatory, and ESG domains - driving analytics, automation, and decision-making across the buy and sell sides.

This business is a critical pillar of our growth strategy in Enterprise Data. Our ambition is to continue servicing the most complex data needs of our clients, enabling them to innovate and deliver value to their stakeholders. The team is responsible for identifying, designing, and delivering data solutions that leverage Bloomberg's extensive equity datasets across Cash Equity and Listed Equity Derivatives covering security master, dividend forecasts and derived analytics.

Success in this role requires a deep understanding of global cash and derivatives equity markets, the data that drives them, and the challenges clients face in integrating and scaling these datasets for business advantage.

The Role

We are seeking a senior individual to join the Equity Reference Data team as Team Lead. This position has global oversight. You will be responsible for developing and executing the strategic roadmap for Equity Reference Data - setting direction, defining measurable goals, and leading a team of motivated product managers.

You'll be expected to shape the evolution of our equity data capabilities - incorporating innovation in data delivery, AI, and analytics - while maintaining a strong connection to our clients' evolving business and technology priorities.

We'll Trust You To:

Display strong leadership skills by mentoring, and developing a team of high-performing product managers

Drive growth in the Equity Data business and display strong business and product management skills by defining data product strategy, prioritising, and executing through an agile process

Develop and apply business intelligence to measure product performance, identify opportunities, and guide data-driven decision-making

Demonstrate commercial acumen and deliver measurable business outcomes by collaborating closely with Core Product, Engineering, Sales, Marketing, and Service teams to align solutions with market needs and maximise client impact

Demonstrate deep domain expertise in global equity markets - including listed and OTC instruments, indices, and corporate actions

Understand how firms are integrating equity data across investment, risk, and research workflows to create differentiated insights

Identify and implement improvements to operational efficiency and workflow automation

Understand how clients leverage data science and quantitative methods to extract value from large, complex equity datasets

Build and maintain strong relationships with a core set of strategic clients, to evolve our offering

You'll Need To Have:

10+ years of Product management experience in financial data, analytics, or technology with 5+ proven experience in a leadership role managing teams

Strong understanding of global equity markets - including market structure, corporate actions, and fundamental and reference data

Familiarity with the trade lifecycle and data flows across front-, middle-, and back-office functions

Awareness of evolving client challenges driven by regulatory, market structure, and data transformation trends

Demonstrated understanding of data science concepts and quantitative investment processes

Excellent communication skills - able to distill complex topics into clear, concise messages for senior audiences

We'd Love To See:

Experience with Python, R, or other programming languages commonly used in analytics or data science

Broad understanding of multi-asset data and cross-asset linkages

Exposure to ESG data and its integration into equity analytics and workflows

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

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