Product Manager - OTC Derivatives — Enterprise Data Product
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API
Agile @ 3
Data Science @ 5
Marketing
Product Management @ 5
Python @ 5
Reporting @ 3
SQL @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg Enterprise Data partners with clients to understand their businesses, data requirements, and financial technology needs. Its datasets, delivery channels, APIs, and cloud-enabled solutions help clients access data for their workflows.
OTC derivatives are a core growth area for Enterprise Data. Bloomberg's pricing, valuation, and reference data across rates, credit, FX, and equity derivatives supports clients throughout the trade lifecycle, including pre-trade analysis, valuation, risk, collateral, and regulatory reporting.
The Product Manager will grow Bloomberg's OTC derivatives data business and define and execute the product strategy for derivatives data across swaps, swaptions, structured products, and related instruments, serving buy-side, sell-side, and service-provider clients.
Responsibilities
- Serve as the subject matter expert for Bloomberg's OTC derivatives data products, including coverage, quality, usability, and supported use cases.
- Define and execute the product roadmap for OTC derivatives data across rates, credit, FX, and equity derivatives.
- Prioritize initiatives that drive measurable revenue and adoption.
- Develop datasets spanning reference data, research, regulatory, risk, and sustainability data across the trade lifecycle.
- Partner with clients to understand trading, valuation, risk, collateral, and regulatory reporting workflows and translate them into data requirements.
- Work with Sales and Marketing to drive adoption and achieve commercial outcomes.
- Manage product specifications, prioritization, and backlog through an agile process.
- Collaborate with Data, Engineering, and Client Solutions teams.
Requirements
- 5+ years of product management experience, or equivalent, within financial data, analytics, or investment technology.
- Strong knowledge of OTC derivatives across at least two of the following areas: rates, credit, FX, and equity derivatives.
- Understanding of how OTC derivatives are traded, risk-managed, and marked to market.
- Understanding of the derivatives trade lifecycle across buy-side and sell-side organizations.
- 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.
Preferred Qualifications
- 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, including UPI, CDM, EMIR, and Dodd-Frank.
- Experience with cloud-based data delivery or modern enterprise data platforms.
Compensation and Benefits
- Salary: $140,000–$295,000 USD annually.
- Benefits and bonus.
- Potential benefits include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.