# Quantitative Software Developer Intern at Point72

> United States · Intern · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Apoint72%3A7297666002 (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: 2024-08-15 (812 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/7297666002?gh_jid=7297666002
- Skills listed (inferred): Python, Java, C++, MySQL

## 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)

### Job Description

We are seeking a small number of highly talented interns to assist in the development, optimization, and monitoring of our production trading platform and research infrastructure. Interns will work on small, highly collaborative teams.

### Desirable Candidates

- Undergraduate or graduate candidates in computer science or engineering
- Significant experience in Python, C++, C, or Java
- Serious interest in systems programming (e.g. Linux kernel development, compilers, embedded systems, networking, file systems, debuggers)
- In-depth understanding of how userland programs run on Linux and interact with the kernel
- Some basic knowledge of Git, databases (e.g. MySQL), and web development frameworks is a plus
- Clear, concise, and proactive communicator
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apoint72%3A7297666002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.