At a Glance
- Tasks: Lead product strategy for OTC derivatives data and collaborate with clients to meet their needs.
- Company: Bloomberg Enterprise Data, a fast-paced and innovative leader in financial technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and client success.
- Why this job: Join a team that shapes the future of financial data and makes a real impact.
- Qualifications: 5+ years in product management with strong knowledge of OTC derivatives.
The predicted salary is between 70000 - 90000 £ per year.
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 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.
We’ll Trust You To
- 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.
You’ll 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.
We’d 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.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - OTC Derivatives - Product Manager - Enterprise Data Product in London
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We think you need these skills to ace Product Manager - OTC Derivatives - Product Manager - Enterprise Data Product in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Bloomberg.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Bloomberg's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Bloomberg
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Bloomberg.
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Before your interview, reach out to current or former Bloomberg employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
