Quantitative Trading & Research - RMBS Underwriting - Analyst

JPMorgan Chase & Co.; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks an Analyst in the Quantitative Trading & Research team to build analytics and tooling for RMBS underwriting and deal execution.

You will collaborate with underwriting, structuring, financing, banking, trading, risk, and tech to deliver scalable, production-grade solutions that shape collateral valuation and pricing decisions. You are a hands-on Python developer with a strong interest in financial markets, responsible for delivering repeatable analyses,

Qualifications

• Bachelor's or master's degree in a quantitative discipline or related field.
• Excellent programming skills (Python required).
• Strong quantitative foundation and interest in financial markets.
• Excellent communication and stakeholder collaboration skills.
• Self-motivated with attention to detail.

Responsibilities

• Manipulate large datasets to produce systematic analyses and outputs for the desk.
• Develop tools and quantitative analyses for RMBS underwriting, pricing, structuring, and securitization.
• Build scalable desk tooling to improve analytics in a live deal environment.
• Assist in the development and maintenance of valuation, scenario analysis, and risk frameworks.
• Collaborate with technology to integrate tools with desk systems and data platforms.
• Apply engineering discipline and leverage AI-assisted development to accelerate delivery.

Skills

Python

Education

Bachelor's degree

Master's degree

Tools

SQL

Job 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 sit 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 market experience is helpful.
• Prior mortgage / structured products knowledge is helpful.
• Experience building reusable tools used by others (not just one‑off analysis).