Summer 2027 Quantitative Researcher Internship
Location: New York | Focus: Systematic Investing | Business: 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, specialized 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, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.
About the Role
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. The internship program offers the unique KEPL experience, including rigorous and comprehensive training. Interns 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 fields
- Strong knowledge of computational math, probability, and statistics
- Strong analytical skills, with attention to details
- Good communication skills
- Willing to work in a fast-paced start-up environment
- Willing to learn and to take ownership
- Strong programming skills in Python or C/C++
- Commitment to the highest ethical standards
Pay
The annual base salary is $240,000–$300,000 (USD), prorated based on internship start and end date. Actual compensation may vary based on geographic location, work experience, education, and skill level.