JC
JPMorgan Chase
Research Scientist

Quantitative Trading & Research - Residential Finance - Associate

On-siteMidResearch Scientistposted 5d ago
✦Role summaryAI-generated

This role focuses on building and enhancing an automated funding platform for residential warehouse lending, leveraging quantitative analytics and technology to support systematic funding decisions. As an Associate Desk Strategist, you will develop models, analyze data, and collaborate with cross‑functional teams to optimize the multi‑billion‑dollar residential finance business.

Skills required

About this role


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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