Product Manager - Risk & Investment Analytics - Market Surveillance Data
Bloomberg
Product, Data Science
New York, NY, USA
Posted on Aug 5, 2025
Bloomberg's Enterprise Data continues to be a market leader and the enterprise data provider of choice for the financial services industry. Our offering includes market leading data, analytics and data delivery via a fully managed platform. Our committed customer base appreciates the quality of our content, completeness of our coverage, data delivery, technology and high touch client service model.
Bloomberg Risk & Investment Data Analytics (RIA)
The Risk & Investment Analytics team manages an award-winning suite of data products which includes Bloomberg’s Liquidity Assessment solution (LQA), Market Implied Probability of Default (MIPD), and Fund Analytics. These products combine Bloomberg’s vast database of reference data, pricing data and market data with innovative financial models to produce data-driven analytics that enable our clients to proactively manage credit and liquidity risk throughout the trade life cycle. The team also continues to innovate and develop new products for emerging and complex risks like digital asset exposure, physical risk, and geopolitical risks.
The Role:
We are seeking a commercially minded, technically fluent, and strategically driven Product Manager to lead our Market Surveillance Data Products portfolio. In this role, you will own the roadmap and delivery of high-impact analytics and data solutions that help clients proactively monitor financial markets, surface hidden risks, and gain deeper insight into exposures and sentiment.
You’ll be expected to operate at both strategic and tactical levels — defining the commercial vision for the portfolio while also working closely with engineers, quants, and data scientists to operationalize prototypes into robust, scalable production systems. Your ability to bridge the gap between client needs, data modeling, and delivery infrastructure will be critical to your success. You will be responsible for developing and scaling a set of strategic products that form the foundation of Bloomberg’s market surveillance offering, including:
- Fund Analytics – quantifying credit, liquidity, and duration risk across fund holdings to support look-through exposure monitoring, market trend analysis, and investment decisions.
- Digital Asset Exposure – identifying direct and indirect crypto exposure through advanced rules-based logic and instrument-level transparency
- Market Insights – a new product that transforms Bloomberg Intelligence research into structured, scalable data feeds offering sector-level signals and company-specific analysis.
We’ll trust you to:
- Contribute meaningfully to the analysis, evaluation, and product vision for the suite of Risk & Investment Analytics product offerings
- Drive the development and market acceptance of Bloomberg as the standard for risk and investment analytics
- Understand client workflows and challenges, and identify their needs for new data and analytics
- Develop product specifications and prototypes
- Work closely with Engineering and Quant teams to enhance our existing products, deliver new product offerings, and integrate with other Bloomberg products to extend client adoption
- Manage the product backlog, and prioritization process
- Clearly connect with the product partners (clients, sales, and engineering), and collaborate to define new ways to integrate our products in our customer workflows
You’ll need to have:
- 5+ years of product management or related experience in financial data, analytics, or risk solutions
- Solid understanding of financial markets and good knowledge of Bloomberg data
- Strong knowledge of fund structures, portfolio look-through, and risk analytics
- Strong understanding of statistical analysis, time series analysis, data mining, quantitative financial modeling
- Technical fluency in data science workflows, and prototyping (Python preferred)
- Excellent presentation and communication and interpersonal skills with an ability to present to management, build internal networks and client relationships across and outside of the firm.
- Basic proficiency in technology, infrastructure, data science, and coding skills, preferably Python
- Degree in Finance, Economics, Engineering, Computer Science, or a related field
We’d love to see:
- Experience building products used for market surveillance, risk monitoring, and investment idea generation
- Background in commercial strategy, product marketing, or P&L ownership