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Quantitative Developer - CIO Office

Point72 Asset Management - New York

Posted Aug 15, 2024

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
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Verification
Not verified
Salary
$175K-$300K From the posting source checked Jun 20, 2026
401(k) match
Not verified

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

104% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Director Plus From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Developer - CIO Office New York Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. The PCA team plays a vital role in the Equity L/S business at the firm, collaborating with investment teams to improve net revenue and risk adjusted returns. The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team's quantitative research and analytical efforts. The ideal candidate is a smart, self-driven, and creative problem solver with strong technical and quantitative skills. RESPONSIBILITIES - Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components - Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors - Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm DESIREABLE CANDIDATES - Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline - 3+ years of professional experience developing infrastructure to support an investment team - Strong programming skills in Python and SQL - Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms - Understanding of and experience with the data ingestion process - Ability to contribute to the analytics, quant research, and development process - Understanding of portfolio construction is a plus - Knowledge of

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