Quantitative Trading & Research - Residential Finance Desk Strategist - Vice President

🏢 JP Morgan
📍 New York, United StatesFull-timeOn-site
📅 Posted: 2mo ago🔄 Updated: 2mo ago
CV%
✨ AI Summary
As a Vice President Desk Strategist for Residential Finance within Quantitative Trading & Research, you will be instrumental in building and enhancing an automated funding platform for a multi-billion-dollar residential warehouse lending business. Your role involves supporting systematic funding and risk analytics, improving workflow efficiency, and developing scalable, institutional-grade solutions. Key responsibilities include evolving the automatic funding system, ensuring accurate loan eligibility and funding determinations, building analytics for risk assessment, supporting regulatory requirements, and partnering with various teams like Banking, Operations, Risk, and Technology to implement improvements.
Required Skills
Soft Skills & Professional Competencies
CommunicationCollaboration
Information Technology
C++JavaC#PythonSQLDatabase DesignVector Indexing
Nice to have:
Other
programming language designcompiler construction
🎁 Benefits & Perks
comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching
Requirements
Requires 5+ years of experience in residential mortgage markets, proficiency in C++, Java, C#, or Python, and solid understanding of SQL, database design, and indexing. Excellent communication and collaboration skills are essential, along with the ability to support quantitative calculations for risk and stress testing, and partner with cross-functional stakeholders.
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) 

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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00