Mid-Level, Senior
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#
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