Quantitative Trading & Research - Residential Finance - Associate

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 an Analyst or Associate 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
• 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 with LLM powered engines
• Coordinate with Banking, Operations, Product Control, Risk Management, and Technology across financing activities

Required Qualifications, Capabilities and Skills

• Excellent communication skills and ability to collaborate effectively across teams
• Proficiency in Python
• Solid understanding of SQL, database design, and indexing
• Solid understanding of data regression model
• 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

• 2+ years of experience in residential mortgage markets (whole loans and securitized products)
• Experience with both Agency and Non-Agency mortgage assets
• Modeling experience (welcomed, not required)
• Proficiency in any of C++ / Java / C#