Systematic Derivatives - Associate

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

J.P. Morgan's Systematic Derivatives business is seeking an experienced professional to join a growing team focused on quantitative and systematic option risk strategies, automated liquidity provisioning, and technology-driven market making. The successful candidate will work on the trading side of the business collaborating with quantitative research and technology teams to develop, deploy, and scale systematic derivatives strategies across equity and index options markets. The role combines trading expertise, quantitative analysis, and innovation, requiring a strong understanding of options markets and a passion for leveraging technology, data, and AI-driven solutions to solve complex trading challenges.

As an Associate or Vice President on the Systematic Derivatives Trading team, you will contribute to the development, deployment, and management of systematic option trading strategies and automated liquidity provision systems. You will work in trading: coordinating quantitative research, and technology teams to identify risk opportunities, improve automated risk management frameworks, and build scalable solutions that enhance portfolio performance. The role requires strong options market knowledge, a quantitative mindset, and an interest in leveraging technology, automation, and AI to solve complex trading problems.

Job responsibilities

• Assist in managing and optimizing systematic options trading strategies across equity and index derivatives markets, and evaluate new market structure developments, products, and trading opportunities
• Analyze and manage portfolio risk, including delta, gamma, vega, and liquidity exposures; monitor trading performance and investigate P&L drivers, risk events, and execution outcomes
• Develop tools and analytics to improve execution quality, risk management, and trading performance
• Partner with Quantitative Research teams to design, test, and deploy systematic trading strategies
• Collaborate with technology teams to build and enhance automated trading, market making, and hedging systems
• Analyze large datasets to identify trading opportunities, market trends, and strategy enhancements; support the development and monitoring of AI-driven and data-driven trading solutions
• Communicate market activity, strategy performance, and trading insights to stakeholders across trading, sales, quant, and technology teams

Required qualifications, capabilities, and skills

• Demonstrated interest in applying technology, automation, AI, and quantitative techniques to improve trading and risk management outcomes
• Strong understanding of listed options markets, exchange mechanics, derivatives pricing, and risk management concepts
• Quantitative background with the ability to analyze complex datasets and solve analytical problems; experience with Python and data analysis libraries to build tools, automate workflows, and conduct research
• Strong understanding of statistics, probability, and systematic decision-making frameworks
• Intellectual curiosity and ability to explain market behavior and trading outcomes using data
• Ability to work effectively across trading, quantitative research, and technology organizations, with strong communication skills and the ability to present complex concepts clearly and concisely
• Demonstrated ownership, attention to detail, and strong risk management discipline

Preferred qualifications, capabilities, and skills

• Experience trading or supporting equity and index options market making businesses, with knowledge of volatility products, options market structure, and automated risk management techniques
• Experience developing, researching, or managing systematic, quantitative, or algorithmic trading strategies, including the application of machine learning, AI, or advanced statistical modeling techniques
• Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, or Engineering; experience working with large financial datasets and analytical tools
• Familiarity with electronic trading systems, automated execution platforms, and market microstructure; prior experience collaborating with traders, quantitative researchers, and software engineers in a trading environment