JPMorgan Chase
Quantitative Trading & Research - Systematic Trading - Associate
$150K–$200K
New York, NY · Full-time · Posted Jun 12, 2026
- Experience
- 3 to 5 years’ experience in finance is listed as preferred, including market making, electronic trading, trading strategies, or derivatives pricing and risk management.
- Education
- Strong graduate degree (MS or PhD) in a quantitative field is preferred.
About the job
Conduct end-to-end alpha research and deploy systematic strategies in equity options and volatility markets, partnering with trading on execution, hedging, and risk.
What you'll do
- Research and implement daily and intraday signals and systematic strategies, from idea generation through production deployment and monitoring.
- Model equity options and volatility dynamics; build backtesting, attribution, and regime-analysis frameworks.
- Partner with trading on alpha capture, hedging, risk management, and reusable research tools and workflows.
What they ask for
- Strong quantitative background and practical problem-solving skills.
- Direct working knowledge of signal research using market and other financial data, alpha capture, and risk warehousing.
- Proficiency in code design and programming, primarily using Python, KDB, C++ or Java, in a commercial environment.
- Hands-on data analytics experience with complex, large-scale, high-dimensional data.
Nice to have
- Strong graduate degree (MS or PhD) in a quantitative field; expertise in statistics and machine learning in finance.
- Electronic trading or trading-algorithm experience; equity derivatives and volatility-products knowledge is a plus.
Pay
USD 150,000.00-$200,000.00 base salary
Tools
Python, KDB, C++, Java
AI focus
AI/ML and modern AI tooling to accelerate research and developer productivity; AI productionization, including governance, evaluation, monitoring, and safe professional use of AI agents, is listed as a plus.
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