Quantitative Trading & Research – Equity Derivatives Flow - Vice President

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a junior to mid-level quantitative researcher for the Quantitative Trading & Research Team (QTR) in Equity Derivatives. The role focuses on analytics, optimization, and modeling across volatility trading, including surface calibration and client analytics.

You will leverage data and advanced quantitative techniques, including machine learning, to build end-to-end solutions that support the business and trading desks in a fast-paced environment.

Qualifications

• Advanced degree in a quantitative field from a top-tier university.
• 1–3 years of experience in equity modeling or equity derivatives.
• Strong foundation in stochastic calculus, probability theory, and numerical methods.
• Deep knowledge of option theory and equity derivatives products and markets.
• Proficiency in Python and C++, and relevant numerical computing packages.
• Experience with quantitative research, data analysis, and machine learning.
• Strong communication skills to engage with trading and deliver production-ready solutions.

Responsibilities

• Partner with the Equity Derivatives Flow trading desk to build analytics and develop pricing and risk models for flow products.
• Lead research and implementation of volatility trading analytics, focusing on surface calibration and modeling.
• Design and deliver client analytics tools including pre-trade and post-trade analysis and hedging optimization frameworks.
• Shape a data-driven ecosystem for trading and risk management.
• Own full project lifecycle from ideation to production deployment, supporting daily operations and monitoring performance.
• Collaborate closely with traders to translate research into actionable insights.

Skills

Quantitative research

Machine learning

Data analysis

Communication

Stochastic calculus

Probability theory

Numerical methods

Equity derivatives knowledge

Education

Master's or Ph.D. in a quantitative discipline

Tools

Python

C++

Job description

Job Summary:

The Quantitative Trading & Research Team (QTR) Equity Derivatives group seeks a junior to mid-level quantitative researcher to focus on flow products. The role centers on driving and implementing analytics, optimization, and modeling across volatility trading, encompassing volatility surface calibration, client analytics, and pre-trade/post-trade analysis and hedging optimization.

As a Vice President for the Quantitative Trading & Research Team, you will leverage data and advanced quantitative techniques, including machine learning, to build end-to-end solutions that directly support the business.

Job Responsibilities:

• Partner with the Equity Derivatives Flow trading desk to build analytics and develop, enhance, and maintain pricing and risk models for flow products.
• Lead research and implementation of volatility trading analytics, with a focus on volatility surface calibration and modeling.
• Design and deliver client analytics tools, including pre-trade and post-trade analysis and hedging optimization frameworks.
• Take an active role in shaping a data-driven ecosystem for trading and risk management.
• Own the full project lifecycle — from ideation and prototyping to production deployment — developing analytics to manage client flow and risk inventory, supporting daily operations, and monitoring performance.
• Work closely with traders to translate quantitative research into clear, actionable insights and solutions.

Required Qualifications, Capabilities, and Skills:

• Advanced degree (Master's or Ph.D.) in a quantitative discipline (Mathematics, Physics, Engineering, Computer Science, Financial Engineering, or related field) from a top-tier university.
• 1–3 years of experience in equity modeling, with a preference for equity derivatives.
• Strong foundation in stochastic calculus, probability theory, and numerical methods.
• Deep knowledge of option theory and equity derivatives products and markets.
• Proficiency in Python, C++, and relevant numerical computing packages.
• Demonstrated experience with quantitative research techniques, data analysis, and machine learning.
• Strong communication skills with the ability to engage effectively with trading and deliver production-ready solutions.

Preferred Qualifications, Capabilities, and Skills:

• Experience analyzing market data and applying insights to derivatives trading strategies.
• Familiarity with risk management frameworks and relevant regulatory requirements.
• Prior exposure to a front-office quantitative research or trading environment.
• Proven ability to embed LLM-driven tools into quantitative research pipelines — whether for automating analysis, accelerating model development, or extracting insights from unstructured financial data.
• Self-motivated and intellectually independent, with a track record of identifying research opportunities, taking ownership of open-ended problems, and delivering results with minimal oversight.
• Curious and rigorous analytical thinker who challenges conventional assumptions, synthesizes ideas across domains, and translates original research into practical, high-impact trading tools.