We are Bloomberg Enterprise Data fast paced innovative and growing. We partner closely with our clients to understand their businesses data requirements and financial technology needs. Our broad range of datasets delivery channels APIs and cloud-enabled solutions enables clients to access the data they need when they need it and in the format that best supports their workflows.
OTC derivatives are a core growth area for Enterprise Data. Our pricing valuation and reference data across rates credit FX and equity derivatives complements Bloombergs public markets content and supports clients through the full trade lifecycle from pre-trade analysis and valuation to risk collateral and regulatory reporting.
We are seeking a Product Manager to grow Bloombergs OTC derivatives data business. You will define and execute the product strategy for derivatives data across swaps swaptions structured products and related instruments building solutions that serve buy-side sell-side and service-provider clients.
Well Trust You To
Be the subject matter expert for Bloombergs OTC derivatives data products coverage quality usability and the use-cases the data serves.
Define and execute the product roadmap for OTC derivatives data across rates credit FX and equity derivatives prioritizing initiatives that drive measurable revenue and adoption.
Develop datasets spanning reference data research regulatory risk and sustainability data addressing client needs across the trade lifecycle.
Partner with clients to understand their trading valuation risk collateral and regulatory reporting workflows and translate these into data requirements.
Work with Sales and Marketing to drive adoption and attain commercial outcomes.
Manage product specification prioritization and backlog through an agile process collaborating with Data Engineering and Client Solutions.
Youll Need to Have
5 years in product management or equivalent within financial data analytics or investment technology.
Strong knowledge of OTC derivatives across at least two of: rates credit FX and equity derivatives including how these instruments are traded risk-managed and marked to market.
Understanding of the derivatives trade lifecycle across buy-side and sell-side.
Familiarity with how enterprise clients identify and evaluate datasets
Working knowledge of AI automation and agentic approaches with the ability to apply them to financial data products.
Experience delivering product outcomes through an agile process with cross-functional stakeholders.
Wed Love to See
Hands-on experience with derivatives pricing or valuation data from leading providers.
Proficiency with Python SQL or other data science tools.
Familiarity with curve and volatility surface construction or derivatives valuation methodologies.
Exposure to regulatory reporting frameworks (UPI CDM EMIR Dodd-Frank).
Experience with cloud-based data delivery or modern enterprise data platforms