Quantitative Trading & Research - Residential Finance - Associate

Job description

As part of the residential warehouse lending team in the Quantitative Trading & Research division, you will be a part of build and enhancing the automated funding platform powering a multi‑billion‑dollar business.

Job Summary

As a Vice President Desk Strategist for Residential Finance, you’ll sit at the intersection of quantitative analytics and technology, supporting the systematic funding and risk analytics that power a multi‑billion‑dollar warehouse lending business. You will partner closely with the desk lead and cross‑functional teams to improve workflow efficiency and build institutional-grade solutions that help the platform scale.

Job Responsibilities

Enhance and evolve the automatic funding system to meet changing client needs

• Improve system stability, performance, and scalability for a high-throughput funding platform
• Ensure accurate determination of loan eligibility, advance rates, funding spreads, and margin levels
• Build and validate analytics for risk, stress testing, and loss expectations
• Support regulatory-related requirements tied to fair value, capital, and disclosure obligations
• Partner with Banking and Operations to map workflows, identify inefficiencies/risks, and implement improvements
• Coordinate with Banking, Operations, Product Control, Risk Management, and Technology across financing activities Required Qualifications, Capabilities and Skills: 5+ years of experience in residential mortgage markets (whole loans and securitized products)
• Excellent communication skills and ability to collaborate effectively across teams
• Proficiency in at least one of C++ / Java / C# Proficiency in Python
• Solid understanding of SQL, database design, and indexing
• Ability to support quantitative calculations for risk, stress testing, and loss expectations Experience partnering with cross-functional stakeholders (e.g., Banking, Operations, Risk, Technology)

Preferred Qualifications, Capabilities, and Skills

Experience with both Agency and Non-Agency mortgage assets Familiarity with programming language design and compiler construction (compiler-compiler tools) Modeling experience (welcomed, not required)