Jobs / United States / POINT72 Lp

POINT72 Lp

Equity Quantitative Researcher

New York Posted 1 month ago

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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

ROLE/RESPONSIBILITES • Perform rigorous and innovative research to discover systematic anomalies in equity market • End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation • Identify and evaluate new datasets for stock return predictions • Maintain and improve the portfolio trading in production environment REQUIREMENTS • MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics • 1+ years of work experience in systematic alpha research in equities • Experience developing short term alpha signals (intraday or a few days) is a plus • Demonstrated proficiency in R or Python • Strong command of foundations of applied statistics, linear algebra, and time series models • Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources • Strong knowledge of financial markets • Highly motivated, willing to take ownership of his/her work • Collaborative mindset with strong independent research ability

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