JPMorgan Chase
Quantitative Trading and Research – Equity Derivatives Exotics - Associate
$150K–$200K
New York, NY · Full-time · Posted Aug 6, 2026
- Experience
- 1–3 years of experience in derivatives quantitative research.
- Education
- Master's or PhD degree in a quantitative field from a top university.
About the job
Develop and implement pricing, risk-management, and lifecycle models for equity exotic derivatives, supporting trading and product design.
What you'll do
- Build a scalable global risk-management and lifecycle-modeling framework, and model derivatives using C++ and Python.
- Develop product payoffs using machine learning; streamline product reviews and prepare model documentation.
- Assess valuation methodologies and model risks, explain model behavior, and conduct portfolio risk and scenario analyses.
What they ask for
- Master's or PhD in a quantitative field from a top university.
- Strong programming skills in C++, Python, and numerical packages; experience with statistical analysis and machine learning.
- Experience with derivatives pricing models and equity derivatives products, and understanding of Monte Carlo simulation and finite-difference PDE methods.
- Ability to communicate effectively with business stakeholders; prior front-office quantitative research experience.
Nice to have
- Knowledge of risk-management frameworks and regulatory requirements.
Pay
$150,000.00-$200,000.00 USD base salary
Tools
C++, Python, Monte-Carlo simulation, finite-difference PDE
AI focus
Use machine learning in quantitative solutions and to drive equity exotic payoff innovation.
Model-written summary · the original posting is authoritative