Product Manager - Funds

Bloomberg•New York, NY

2d•$140,000 - $295,000

About The Position

Bloomberg is building a foundational public-funds data layer to support fund selection, due diligence, portfolio construction, benchmarking, risk analysis, distribution, and total portfolio analysis across its Terminal, Enterprise products, and portfolio and risk solutions. The Funds Product Manager will help define and execute Bloomberg’s public-funds product strategy, strengthen coverage of mutual funds, exchange-traded funds, closed-end funds, and other publicly offered investment vehicles, improve transparency into holdings and exposures, and enhance fund taxonomy, classification, linkage, and discoverability. The role partners with Product, Engineering, Data, Sales, and Operations to deliver scalable data products that serve existing Bloomberg clients and attract new users among asset managers, asset owners, and fund distributors. It includes setting phased roadmaps, prioritizing data gaps, supporting relevant Bloomberg workflows, and measuring outcomes such as data quality, discoverability, adoption, workflow engagement, and business impact.

Requirements

7+ years of product management or relevant experience in public funds, asset management, financial data, or investment workflow products.
Strong knowledge of asset owner and fund investor workflows, including screening, fund selection, benchmarking, due diligence, portfolio construction, monitoring, and manager evaluation, and their relationships with asset managers, consultants, distributors, and other market participants.
Understanding of mutual fund and ETF workflows, including research, comparison, portfolio construction, exposure analysis, performance evaluation, risk analysis, and ongoing monitoring.
Experience working with complex datasets and sourcing, mastering, normalizing, and linking data across funds, share classes, managers, securities, benchmarks, holdings, and corporate entities.
Familiarity with fund structures, domiciles, regulatory classifications, share-class attributes, fees, distributions, holdings, assets under management, flows, performance metrics, and risk concepts.
Experience building or managing data products, platforms, screening tools, or APIs used by investment professionals, wealth managers, distributors, or enterprise clients.
Ability to translate ambiguous user problems into clear product requirements, phased roadmaps, and measurable outcomes.
Strong cross-functional collaboration and communication skills.

Nice To Haves

Experience building fund intelligence, holdings, flows, performance, benchmarking, risk, or portfolio analytics products.
Knowledge of taxonomy design, fund classification, entity resolution, metadata management, or search and discoverability in financial data products.
Familiarity with regulatory and industry data sources, such as fund filings, prospectuses, factsheets, holdings disclosures, and standardized fund identifiers.
Experience supporting workflows spanning funds, individual securities, model portfolios, and separately managed accounts.
Understanding of the public funds data, index, analytics, and software vendor landscape.
Familiarity with fund distribution, product governance, suitability, and regulatory reporting workflows.
Experience evaluating build, buy, contribute, and partner decisions for strategic data capabilities.

Responsibilities

Define and execute the product strategy for Bloomberg’s public funds.
Identify and prioritize critical data gaps across funds, share classes, managers, holdings, benchmarks, fees, and flows.
Bring to market initiatives involving fund taxonomy, identifiers, entity linkage, classifications, search, and discoverability.
Partner with Engineering and Data teams on scalable data models and APIs.
Build and maintain a roadmap with phased MVPs, balancing client impact, strategic fit, time to market, data availability, and technical complexity.
Ensure funds are usable across fund research, screening, due diligence, portfolio construction, benchmarking, performance attribution, risk analytics, and distribution workflows.
Collaborate with Product, Engineering, Data, Sales, and Operations to deliver solutions for existing clients and prospective asset management, asset owner, and fund distribution users.
Define and monitor success metrics related to data coverage, freshness, accuracy, linkage quality, discoverability, adoption, workflow engagement, and business impact.