Quant Trading & Research Summer Associate | JPMorganChase

As a Summer Associate in the Quantitative Trading & Research Markets team, you will join a leading quantitative modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization. You will work closely with traders, sales, marketing, technologists, and risk managers across products and regions. You will help build quantitative models, methodologies, and infrastructure to price, hedge, and trade financial products, advancing algorithmic trading and data-driven strategies such as statistical arbitrage. Expert instructors and J.P. Morgan professionals will teach you technical and practical skills, and successful program participants may receive full-time offers.

Key Responsibilities

• Develop and maintain mathematical models, algorithms, methodologies, and supporting infrastructure
• Value and hedge financial transactions across a range of products, from flow products to complex derivative deals
• Support quantitative modeling and research that inform trading strategies and decisions
• Work with trading teams to turn research insights into practical market applications
• Partner with quantitative researchers, technologists, traders, marketing, and risk managers
• Conduct alpha research, calibrate model parameters, and optimize pricing of financial instruments to support growth and market share
• Manage risk in existing portfolios

Requirements

• Enrolled in a PhD program in a relevant field (e.g., mathematics, statistics, physics, engineering, computer science, data science, or machine learning)
• Graduating between December 2027 and August 2028
• Programming experience (e.g., Python, C++, or another language)
• Analytical, quantitative, and problem-solving skills
• Research skills, shown through coursework, projects, or academic work
• Ability to work effectively in a dynamic, collaborative environment
• Clear written and verbal communication of findings to non-technical audiences
• Attending a college or university in the United States

Skills

Technical Skills

• Programming in Python, C++, or similar
• Mathematical and statistical modeling
• Quantitative research and alpha research
• Pricing, hedging, and portfolio optimization
• Machine learning and data science (preferred)

Soft Skills

• Analytical and problem-solving mindset
• Collaboration across traders, technologists, and risk managers
• Clear communication with non-technical audiences
• Initiative and ownership
• Handling pressure, with strong attention to detail

Nice to Have

• Knowledge of options pricing theory or trading algorithms, or a demonstrated interest in finance through coursework or prior experience
• Confidence and initiative to own and manage projects independently
• Knowledge of machine learning and data science concepts, techniques, and tools
• Advanced proficiency in any programming language

Benefits

• Hands-on experience, skills training, and professional networking
• Possible full-time employment offer based on individual achievement
• Competitive total rewards, with possible commission-based pay and/or discretionary incentive compensation for eligible roles
• Comprehensive health care coverage and on-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching