Summer 2027 Quantitative Research Internship

New York Please send CVs to KEPL-talent@cubistsystematic.com with “2027 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Our Firm: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship. Requirements: PhD candidate in math/physics/statistics/EE/CS, or other quantitative fieldsStrong knowledge of computational math, probability, and statisticsStrong analytical skills, with attention to detailsGood communication skillsWilling to work in a fast-paced start-up environmentWilling to learn and to take ownershipStrong programming skills in Python or C/C++Commitment to the highest ethical standards The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. 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Degree* Select... End date month* Select... End date year* Have you previously applied to work at Point72?* Select... Are you legally authorized to work in the United States?* Select... Will you now or in the future require sponsorship for employment visa status?* Select... Have you served in the military?* Select... Privacy * Select... By selecting “Yes” below, you consent to Point72 collecting contact information from your candidate application in accordance with our Privacy Policy. As stated in the Privacy Policy, Point72 may use and share this contact information to deliver advertisements or direct messages either directly or indirectly through third party services, including social media. Please review our Privacy Policy here for additional information. I Accept: Note to Hiring Manager Please send CVs to KEPL-talent@cubistsystematic.com with “2027 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. Requirements: PhD candidate in math/physics/statistics/EE/CS, or other quantitative fieldsStrong knowledge of computational math, probability, and statisticsStrong analytical skills, with attention to detailsGood communication skillsWilling to work in a fast-paced start-up environmentWilling to learn and to take ownershipStrong programming skills in Python or C/C++Commitment to the highest ethical standards The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. By selecting “Yes” below, you consent to Point72 collecting contact information from your candidate application in accordance with our Privacy Policy. As stated in the Privacy Policy, Point72 may use and share this contact information to deliver advertisements or direct messages either directly or indirectly through third party services, including social media. Please review our Privacy Policy here for additional information.