Quantitative Trading & Research - RMBS Underwriting - Analyst

JPMorgan Chase & Co.; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks an Analyst in Quantitative Trading and Research to support RMBS underwriting with Python-driven analytics and tooling. You will collaborate with underwriting, structuring, financing, banking, trading, risk, and tech to build scalable solutions.

You will be at the intersection of quantitative research, engineering, and front-office deal execution, delivering production-quality tools and pricing analytics to improve decision-making and profitability.

Qualifications

• Bachelor's or Master's degree in a quantitative discipline (CS, math, stats, eng, econ/finance, or related).
• Excellent programming skills (Python required).
• Strong quantitative foundation and interest in financial markets.
• Excellent communication and stakeholder collaboration skills.
• Self‑motivated with strong problem solving and attention to detail.

Responsibilities

• Manipulate large datasets to produce systematic analyses and repeatable outputs for the desk.
• Develop tools and quantitative analyses to drive RMBS underwriting, pricing, structuring, and securitization decisions.
• Build and enhance scalable desk tooling for analytics and models in live deal environments.
• Assist in developing and maintaining internal valuation, scenario analysis, and risk frameworks.
• Collaborate with technology to integrate tools with desk systems and data platforms; ensure robustness and maintainability.
• Apply engineering discipline (testing, documentation, version control) and use AI-assisted development where appropriate.

Skills

Python programming

Communication

Critical thinking

Education

Bachelor's or Master's degree in quantitative discipline

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 thebusinessevaluates collateral, prices risk,sources clients,andexecutes 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,bankingand tradingpartners 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 todrive decision making related toRMBS underwriting, pricing,structuring,andsecuritization dealexecution
• Build and enhance scalable desk tooling that improves the efficiency, reliability, and usability of analyticsand modelsin a live deal environment.
• Assistin 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 whereappropriate toaccelerate delivery.

Required Qualifications, Capabilities, and Skills

• Bachelor's or master'sdegreein a quantitative discipline (computer science, mathematics, statistics, engineering, physics, economics/finance, or related).
• Excellent programming skills (Pythonrequired).
• 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

• SQLknowledgeisa plus.
• Prior financialmarketsexperience is helpful.
• Prior mortgage / structured products knowledge is helpful.
• Experience building reusable tools used by others (not just one-off analysis).