Quantitative Trading & Research - RMBS Underwriting - Analyst

🏢 JP Morgan
📍 New York, United StatesFull-timeOn-site
📅 Posted: 2mo ago🔄 Updated: 2mo ago
CV%
✨ AI Summary
This role is for an Analyst in Quantitative Trading and Research (QTR) supporting an RMBS underwriting business. The Desk Strategist will develop cutting-edge analytics and tooling to evaluate collateral, price risk, source clients, and execute transactions. Responsibilities include manipulating large datasets, developing quantitative analyses for RMBS underwriting and pricing, building scalable desk tooling, assisting with valuation and risk frameworks, and collaborating with technology teams. The role requires strong programming skills, particularly in Python, a quantitative foundation, and interest in financial markets.
Required Skills
Information Technology
Python
Soft Skills & Professional Competencies
Quantitative AnalysisCommunicationCritical ThinkingAttention to Detail
Other
ownership
Nice to have:
Information Technology
SQL
🎁 Benefits & Perks
competitive total rewards package including base salary, commission-based pay and/or discretionary incentive compensation, 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 a Bachelor's or Master's degree in a quantitative discipline, excellent Python programming skills, a strong quantitative foundation with an interest in financial markets, and excellent communication and self-motivation skills. SQL knowledge, prior financial markets experience, and mortgage/structured products knowledge are preferred.
Description

Position Summary

Join our dynamic team as a Desk Strategist supporting a market-leading RMBS underwriting business. As an Analyst within Quantitative Trading and Research (QTR), you will work closely with underwriting, structuring, financing, banking, trading, risk, and technology to build cutting-edge analytics and tooling that shape how the business evaluates collateral, prices risk, sources clients, and executes transactions.

As an Analyst on the Quantitative Trading & Research Team, you will sits at the intersection of quantitative research, modern engineering, and front-office Residential Mortgage-Backed Securities (RMBS) deal execution, offering direct exposure to senior underwriting, structuring, banking and trading partners on complex transactions. You are a hands-on builder with strong Python skills and a genuine interest in financial markets and will be a primary asset in shaping the team's future analytics and workflows by delivering scalable, production-quality tools and analytical/pricing solutions that improve decision-making, drive profitability, and support optimal deal execution.

Job Responsibilities

  • Manipulate large datasets to produce systematic analyses and repeatable outputs delivered directly to the desk. 

  • Develop tools and quantitative analyses to drive decision making related to RMBS underwriting, pricing, structuring, and securitization deal execution

  • Build and enhance scalable desk tooling that improves the efficiency, reliability, and usability of analytics and models in a live deal environment.

  • Assist in the development and maintenance of internal valuation, scenario analysis, and risk frameworks as applicable.

  • Collaborate with technology and internal teams to integrate tools with desk systems and data platforms; ensure solutions are robust and maintainable.

  • Apply strong engineering discipline (testing, documentation, version control) and leverage firm-approved AI-assisted development where appropriate to accelerate delivery.

Required Qualifications, Capabilities, and Skills

  • Bachelor's or master's degree in a quantitative discipline (computer science, mathematics, statistics, engineering, physics, economics/finance, or related).

  • Excellent programming skills (Python required).

  • Strong quantitative foundation and interest in financial markets.

  • Excellent communication skills and ability to partner effectively with technical and non-technical stakeholders.

  • Self-motivated with strong critical thinking, ownership, and attention to detail.

Preferred Qualifications, Capabilities, and Skills

  • SQL knowledge is a plus.

  • Prior financial markets experience is helpful.

  • Prior mortgage / structured products knowledge is helpful.

  • Experience building reusable tools used by others (not just one-off analysis).

 

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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