Product Manager - OTC Derivatives — Enterprise Data Product
Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Marketing @ 3
Python @ 5
SQL @ 5
Data Science @ 5
Prioritization @ 3
Product Management @ 5
API @ 3
Reporting @ 3
Agile @ 3
AI @ 3
- 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 is 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 Bloomberg’s 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 Bloomberg’s 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.
Responsibilities
- Be the subject matter expert for Bloomberg’s 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.
Requirements
Required
- 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.
Preferred / Nice to have
- 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.
Compensation
Salary Range: 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
Benefits
Bloomberg offers a comprehensive benefits plan that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with company match, life insurance, and various wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.