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Quantitative Analyst - Credit Derivatives

Job in New York City, Richmond County, New York, 10261, USA
Listing for: Bloomberg
Full Time position
Listed on 2026-01-12
Job specializations:
  • Finance & Banking
    Data Scientist, FinTech
  • IT/Tech
    Data Scientist, Data Analyst, FinTech
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Bloomberg FX/Commodity/Credit Quant Analytics Team

Join Bloomberg’s Quant Analytics team, where we design and deliver cutting-edge models for derivative market data, pricing, and risk. Our work powers everything from the Bloomberg Terminal (used by 300,000+ clients) to trading systems, enterprise risk management, and valuation services.

We’re looking for a Quant Analyst with deep expertise in credit derivatives to help us push the boundaries of analytics.

What You’ll Do
  • Build and enhance credit derivatives pricing models in C++.
  • Optimize performance and accuracy of existing market data and pricing engines.
  • Partner with engineers, and product teams to bring models into production.
  • Communicate insights clearly to both technical and client-facing teams.
What We’re Looking For
  • 7+ years in credit derivatives modeling.
  • Strong knowledge of credit instruments (CDS, CDX, iTraxx, tranched credit).
  • Advanced programming skills in C++ (plus Python).
  • Solid grasp of mathematical finance, and numerical methods in derivatives pricing.
  • Proven ability to collaborate in a multi-developer, cross-functional environment.
  • Excellent communication skills.
Nice to Have
  • PhD in a quantitative field
  • Knowledge and practical experience in private credit modeling
Why Bloomberg?

You’ll join a team that combines world-class data, innovative models, and real-world impact  you’re passionate about credit derivatives and want to work at the forefront of financial technology, we’d love to hear from you.

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