Jobs / United States / POINT72 Lp

POINT72 Lp

Quantitative Developer Intern

New York Posted today

Apply on employer site ↗ Tailor my CV first Source: Company careers site

Optional: we can tailor a CV and cover letter for this job from your real experience first (the first one is free).

Skills this job asks for

Machine learningData engineeringSQLPythonDockerStatistics

Add your CV (free) to see which of these your CV is missing.

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordUSCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
USCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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

Apply on employer site ↗