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Micro-Intern: Research Technology Developer (IAP)

Point72 • Venture Capital • Hedge Funds & Alternative Investments • Python • C++ • 16 days ago

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Salary

≈ $66k – $111k per year (Estimated)

Location

In office (New York)

Seniority

Intern

Visa

H-1B filings in 12 months: 83 · green card filings: 20

Employment

Internship

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 31, 2025. Point72 scores B on the Alion truth index.

Overview

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Point72

Point72 is an American investment firm founded in 2014 when Steven Cohen converted his former hedge fund SAC Capital into a family office, before reopening to outside capital in 2018. It runs a multi-strategy business dominated by discretionary long and short equity teams organised as independent portfolio managers, alongside macro, systematic and quantitative strategies that rely heavily on alternative data and machine learning. Headquartered in Stamford, Connecticut with offices across North America, Europe and Asia, it also operates Point72 Ventures as a venture capital arm and runs a well-known academy programme that trains analysts from outside finance.

point72.com • HQ: Stamford, United States • Venture Capital • Hedge Funds & Alternative Investments • 1001-5000 employees • Est. 2014

Backed by Point72 Ventures - Venture Capital Firm

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, is one of the world’s premier investment firms. The firm 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.

Job Description

The Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products, is seeking a highly talented intern to work with the team in January. This is a unique opportunity to help design and build the next generation of research and quant trading systems for Cubist.

Desirable Candidates

Undergraduate or graduate candidates in computer science or engineering
Significant experience in Python and/or C++
Interest in open source research tools for data science and machine learning
Basic knowledge of linux, git, conda, and CI processes
Knowledge of cloud, databases and distributed or streaming compute is a plus
Reasonable quantitative and statistical skills
Experience with Finance preferred
Clear, concise, and proactive communicator
Detail oriented and quick learner in a fast-paced environment
Team player with strong pride of ownership
Commitment to the highest ethical standards

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