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Summer Quantitative Research Internship

Job in New York City, Richmond County, New York, USA
Listing for: Point72
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-02-17
Job specializations:
  • Research/Development
    Data Scientist, Mathematics, Research Analyst
Salary/Wage Range or Industry Benchmark: 240000 - 300000 USD Yearly USD 240000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Summer 2026 Quantitative Research Internship
About our Firm:

Cubist Systematic Strategies, an affiliate of Point
72, 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 are 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.

Role/

Experience:

We are looking for exceptional students to be our quantitative researcher interns for the summer of 2026. 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 the unique KEPL experience. During the internship, our intern will receive rigorous and comprehensive trainings. He/she 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

* 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++

* Good communication skills

* 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.
Position Requirements
Less than 1 Year work experience
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