BVAL (Bloomberg’s Evaluated Pricing Service) Evaluator - Non-Agency US Structured Products
Bloomberg
Posted on Dec 3, 2025
Bloomberg’s Evaluated Pricing Service, BVAL, provides transparent and accurate valuations for fixed income and derivatives instruments. Our clients — including mutual funds, hedge funds, money managers, internal pricing teams, and auditors — rely on BVAL to establish fair and independent fixed income asset valuations.
We are looking for an Evaluator to join our Non-Agency Securitized Products Credit team. As a BVAL Evaluator, you will serve as a sector expert responsible for delivering accurate, high-quality pricing data to our clients. In this role, you’ll apply your market expertise, contribute to the development of valuation models, enhance workflow efficiency, and collaborate closely with cross-functional teams. You’ll support pricing across a broad spectrum of liquid and esoteric bonds.
The ideal candidate should have 5+ years of market experience in one or more of the sectors below, with a background in trading, portfolio management, research, structuring, or valuations.
- ABS (Liquid and Esoteric sectors)
- CMBS (Legacy, Conduit, SASB, CRE CLOs, B-pieces)
- RMBS (Legacy, 2.0, Non-QM, RPL, Derivatives)
We'll expect you to:
- Leverage market expertise, BVAL’s data-driven framework, and relative value analysis to produce accurate pricing
- Work with internal engineering teams to design, maintain, and enhance valuation models
- Partner with internal teams including Product Management and Sales to expand BVAL’s Securitized Products offering
- Engage directly with clients and colleagues to discuss market dynamics, model assumptions, pricing methodologies, and product
features
You'll need to have:
- Proven expertise in fixed income pricing and analytics, including a deep understanding of any of the sectors listed above
- Demonstrated ability to work with complex systems and models, including databases and in-house analytics
- Excellent communication skills, with the ability to present sophisticated concepts clearly to both technical and non-technical audiences
- Advanced skills in Microsoft Excel and data modeling
- Familiarity with Bloomberg Terminal tools and functionality
- Experience in Python, VBA, SQL and/or Data visualization tools like Superset
If this sounds like you, please apply!