Point72, L.P.

Finance & Insurance · Primarily NY · PERM filings 2019–2025

#1,327 top sponsor

Overview

Point72, L.P. is a Finance & Insurance employer that has filed 59 PERM green-card applications between FY2019 and FY2025. That places it #1,327 among all U.S. PERM sponsors in our dataset. 39 were certified (66.1% approval rate), taking about 327 days on average. The most-sponsored role is Financial Quantitative Analysts, with most worksites in NY, and the median sponsored wage is $166,500.

59

PERM filings

66.1%

approval

0

denied

$166,500

median wage

327d

avg processing

Worker background

Across 32 filings with beneficiary data, the most common country of origin is INDIA (50%). (From legacy PERM form data, FY2020–FY2024.)

Top countries of origin

  • India16
  • China13
  • Pakistan1
  • Malaysia1
  • United Kingdom1

Prior visa status

  • H-1B32

Education

  • Master's24
  • Bachelor's7
  • Doctorate1

PERM filings by year

Occupations & job titles

The occupations Point72, L.P. most often sponsors, with average wages.

OccupationFilingsAvg wage
Financial Quantitative Analysts 11 $195,091
Statisticians 8 $179,567
Data Scientists 7 $179,571
Software Developers, Applications 7 $148,132
Computer Systems Analysts 3 $187,100
Network and Computer Systems Administrators 3 $132,240
Software Developers 3 $219,250
Software Developers, Systems Software 3 $151,515
Statistician 1 $150,000
Economists 1 $139,500

Common job titles

Data Scientist 7 IT Operations Engineer, Application Support 5 Software Engineer 3 Data Analyst 3 System Engineer, Network and Voice Technology 2 Quantitative Strategist, Macro Technology 2 Data Scientist II, MI Data 2 Software Engineer - Technology Development 2 Data Engineer II, MI Data 2 Software Engineer, Market Intelligence Technology 2 Data Scientist, PODS 2 Quality Assurance Engineer 1

Worksite states

Wage range

$139,500

25th

$166,500

median

$202,500

75th

$234,000

90th

Law firms used

  • Robinson & Cole LLP23
  • Robinson Cole LLP19
  • Ogletree, Deakins, Nash, Smoak Stewart, P.C.7
  • Ogletree, Deakins, Nash, Smoak Stewart, P.C5
  • Ogletree, Deakins, Nash, Smoak & Stewart, P.C.4
  • Ogletree Deakins1

Recent filings

CaseJob titleStatusWorksiteDecision
G-100-24309-451724 Cubist Execution TraderCertified New York, NY Mar 17, 2026
G-100-24309-451703 IT Operations Engineer, Application SupportCertified New York, NY Mar 17, 2026
G-100-24263-350798 Quantitative Strategist, Macro TechnologyCertified New York, NY Feb 7, 2026
G-100-24263-350807 Quantitative ResearcherCertified New York, NY Feb 7, 2026
G-100-24256-332234 Quality Assurance EngineerCertified Stamford, CT Feb 7, 2026
G-100-24274-373866 Head of MI Data (070248.000058)Certified New York, NY Feb 7, 2026
G-100-24248-312353 Data Scientist II, MI DataCertified New York, NY Feb 7, 2026
G-100-24248-312365 Data Scientist II, MI DataCertified New York, NY Feb 7, 2026
G-100-25307-365097 Researcher, Cubist Portfolio ResearchWithdrawn New York, NY Feb 3, 2026
G-100-24226-263848 Data Engineer II, MI DataCertified New York, NY Jan 22, 2026
G-100-24187-176791 Business Solution ArchitectCertified New York, NY Nov 24, 2025
G-100-24177-145095 Quantitative Strategist, Treasury Quant StrategyCertified New York, NY Nov 13, 2025
G-100-24173-137142 Software Engineer, Market Intelligence TechnologyCertified Stamford, CT Sep 24, 2025
G-100-24122-945447 Quantitative Strategist, Macro TechnologyCertified New York, NY Aug 21, 2025
G-100-24150-046443 Data AnalystCertified New York, NY Aug 21, 2025
G-100-24107-891047 Software Engineer (070248.000062)Certified Stamford, CT Aug 2, 2025
G-100-24039-703430 Data Engineer (070248.000029)Certified New York, NY Jun 24, 2025
G-100-24002-609149 Quantitative Software EngineerCertified - Expired New York, NY May 25, 2025
G-100-23315-496341 Growth and Strategic Partnerships Associate (070248.000051)Certified - Expired New York, NY May 21, 2025
G-100-23292-443072 IT Operations Engineer, Application SupportCertified - Expired Stamford, CT Mar 24, 2025

Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.