BVAL (Bloomberg's Evaluated Pricing Service) Evaluator - US Agency Structured Products

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 Agency Securitized Products Rates 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 will support valuations for Agency MBS markets, including Agency CMOs (Fixed, Floaters and Derivatives) to help advance the BVAL offering, provide accurate pricing, and excellent service to BVAL clients.

The ideal candidate should have 5+ years of market experience in the sectors below, with a background in trading, portfolio management, research, structuring, or valuations. - Agency CMOs (Fixed, Floaters and Derivatives)

We'll trust 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 

We'd love to see:

•  Familiarity with Bloomberg Terminal tools and functionality 
•  Experience in Python, VBA, SQL and/or Data visualization tools like Supe