# Micro-Intern: Research Technology Developer (IAP) at Point72

> United States · Intern · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Apoint72%3A8236734002 (read 2026-11-06).

## Facts (observed)

- Company: [Point72](https://alderhq.app/companies/point72)
- Location text: New York; New York, NY
- Where it can be done from (inferred): United States (evidence: "Location: New York; New York, NY")
- Posted: 2025-10-31 (371 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://boards.greenhouse.io/point72/jobs/8236734002?gh_jid=8236734002
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 49): p25 $98k, median $120k, p75 $126k
- H-1B filings at this company for similar roles, FY26: 27, median offered wage $220k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apoint72%3A8236734002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.