# Quantitative Developer Intern at Point72

> United States · Intern · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Apoint72%3A7609197002 (read 2026-11-05).

## 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: 2024-08-23 (804 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/7609197002?gh_jid=7609197002
- Skills listed (inferred): Python, Docker, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 38): p25 $100k, 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 RESPONSIBILITIES

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative developer interns for Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have a real impact.

You will gain exposure to a variety of activities, which may include:

- Improving signal research and trading tools infrastructure
- Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
- Working alongside quant researchers developing quant signals
- Developing automated equities trading application and real-time analytics
### DESIRABLE CANDIDATES

- Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline, or current enrollment in a related undergraduate or graduate program
- Strong programming experience in Python with production-level coding quality
- Experience with containerization and orchestration technologies, particularly Docker
- Experience with Unix environment and shell scripting
- Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus
- Knowledge of statistics and machine learning is a plus
- Ability to take ownership of projects, work independently, and collaborate effectively within a small team
- Prior experience in the financial services industry is a plus
- Commitment to the highest ethical standards

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apoint72%3A7609197002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.