2027 Quantitative Research Markets Analyst Program – Off-Cycle Internship – London
JPMorgan Chase & Co.About the role
As an off-cycle analyst in the Quantitative Trading & Research Markets team at JPMorganChase, you will join a leading quantitative modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization.
Job Summary
You will work closely with traders, sales, marketing, technologists, and risk managers across products and regions. You will support research and strategy deployment, client and sales engagement, product innovation, valuation and risk management, and inventory and portfolio optimization, including electronic trading and market-making activities. 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.
ABOUT THE PROGRAM
Our Global Markets teams develop sophisticated solutions to help clients manage risk, increase returns and solve complex financial problems. We hold leadership positions across all major financial markets worldwide. This means you'll be part of a dynamic team, helping to solve a wide range of interesting business issues and will be challenged in your work every day.
Expert instructors and J.P. Morgan professionals will teach you about our history, scale, and scope of our organization today and our ambitious plans for tomorrow. We’ll teach you technical and practical skills that will help you hit the ground running.
The program is an opportunity to take your career to the next level through hands-on experience, relevant skills training and valuable professional networking. Based on your individual achievements, those who successfully complete the program may receive offers of full-time employment.
Job Responsibilities
- Develop and maintain mathematical models and cutting-edge algorithms,
methodologies, and supporting infrastructure.
- Value and hedge financial transactions across a rang
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