Join a team where your models power real trading decisions at global scale. At J.P. Morgan, our Quantitative Trading Research (QTR) team specializes in quantitative modelling and systematic trading, collaborating across products and regions with traders, marketers, structurers, sales, risk managers, and support teams. We create models and analytics for valuation, risk management, inventory and portfolio optimization, product innovation, electronic trading, market making, and financial risk controls. You’ll grow through our diverse business footprint and broad responsibilities while seeing your work make a tangible impact. We accommodate applicants’ and employees’ religious practices, health needs, and family considerations.

Job summary:

As an Analyst or Associate in Quantitative Trading & Research (QTR) for Equity Derivatives – Exotic products, you will design, implement, and deploy to production advanced pricing and risk models, as well as analytics that inform trading strategies and improve business outcomes. You will help shape the future of volatility trading and client solutions by turning ideas into robust tools in partnership with traders, technologists, and researchers. We seek candidates with outstanding educational backgrounds and relevant quantitative experience, who are strong developers committed to the highest standards of coding. We value business-aware team players who are passionate, collaborative, and impactful.

Job Responsibilities:

• Build production-grade end-to-end solutions for pricing and risk management of equity derivatives Exotic products.
• Enhance the robustness of pricing and risk models for Exotic products.
• Collaborate with trading to solve problems and lead the research and implementation of volatility trading analytics.
• Drive product and model innovation with creative problem-solving.
• Implement, maintain, and monitor analytics used to manage client flow and risk inventory.

Required Qualifications, Capabilities, and Skills:

• Advanced degree (Master’s or Ph.D.or equivalent) in a quantitative field (Mathematics, Physics, Engineering, Computer Science, Financial Engineering, or related).
• Good understanding of mathematical finance, covering option pricing theory, equity derivatives products, and volatility modelling.
• Strong foundations in mathematics: probability, numerical methods, stochastic calculus.
• Highly proficient in Python and C++, including experience with numerical and scientific libraries.
• Experience applying quantitative techniques, data analysis, and machine learning to trading or risk problems.
• Clear, confident communication.