What are the responsibilities and job description for the Product Manager - Market Data position at Goldman Lloyds?
Job Title: Product Manager - Market Data
Location: NYC (Mid-Town)
Employment Type: Full-Time, on-site Hybrid
Compensation: Base Competitive Bonus
*Must Have - Investment Management/Financial Markets Experience (Hedge Funds, Asset Management, Sell-Side, Brokerage Houses, Financial Exchanges)
We are working exclusively with a prop trading firm to identify a Market Data Product Manager for a newly created seat within their data and technology function. This is a rare opportunity for a technically grounded product manager to take full ownership of a critical data domain at a firm where data quality, coverage, and delivery directly influence investment decisions.
The Role
You will serve as the primary product owner for the firm's market data ecosystem — spanning data sourcing, vendor management, entitlements, and delivery infrastructure. This is not a conventional PM role. The firm needs someone who can engage at a technical level with engineers and quant researchers while simultaneously managing commercial relationships with major data vendors and driving strategic decisions around data coverage and cost.
What You'll Be Doing
- Owning the market data product roadmap — coverage, quality, cost, and delivery infrastructure
- Managing relationships with major data vendors — Bloomberg, Refinitiv, FactSet, and alternative data providers
- Using Python and SQL to interrogate data pipelines, validate data quality, and generate analytical insights
- Partnering with quant researchers, portfolio managers, and engineering teams to translate data needs into actionable requirements
- Evaluating new data sources and vendors against investment and operational criteria
- Driving data governance, entitlements management, and cost optimisation across the data estate
- Producing clear, data-driven reporting for senior technology and investment leadership
What We Are Looking For
- 7-12 years product management experience with a market data or data platform focus
- Hands-on Python and SQL proficiency — used actively for data analysis, pipeline validation, and insight generation, not just familiarity
- Deep understanding of financial market data — reference data, pricing, analytics, and alternative data
- Experience managing vendor relationships with major market data providers
- Strong stakeholder communication — credible with quant researchers and engineers as well as senior leadership
- Financial services or hedge fund experience essential
- Ability to operate with autonomy in a lean, high-standards environment
Beneficial
- Experience with cloud data platforms — Snowflake, Databricks, or equivalent
- Familiarity with data entitlements and permissioning frameworks
- Exposure to alternative data sourcing and evaluation
- Understanding of quantitative research workflows and investment processes
- Experience with data contracts or API gateway patterns
Salary : $175,000 - $200,000