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Summer 2026 Quantitative Research Internship

Point72New York
On-site Full-time
Position filled

Qualifications

Candidates should be PhD candidates in quantitative fields such as mathematics, physics, statistics, electrical engineering, or computer science. A solid understanding of computational mathematics, probability, and statistics is essential. Strong analytical skills, attention to detail, and a proactive approach to problem-solving are required. Proficiency in programming languages such as Python or C/C++ is crucial. Excellent communication skills and a commitment to ethical standards are also necessary for success in this role.

About the role

Join Point72's Cubist Systematic Strategies as a Quantitative Research Intern for Summer 2026. This is an exceptional opportunity to engage in cutting-edge research and contribute to innovative quantitative trading strategies in a dynamic, collaborative environment. Interns will receive in-depth training and work closely with experienced researchers to develop impactful trading models, while also having the chance to secure a full-time position post-internship.

About Point72

Point72, through its affiliate Cubist Systematic Strategies, employs sophisticated, algorithm-driven trading techniques across various asset classes, including equities, futures, and foreign exchange. Our firm is dedicated to rigorous research into market anomalies, leveraging our extensive access to public data sources. The KEPL team, known for its rapid growth and exceptional talent, specializes in medium-frequency statistical arbitrage strategies and fosters an open, collaborative culture that values innovative research and technology.

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