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NLP Engineer

Point72 Asset Management - New York

Posted May 31, 2025

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Salary
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401(k) match
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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

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
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

NLP Engineer New York ROLE/RESPONSIBILTIES: We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We believe the investment world offers unique opportunities to use modern NLP methods. Responsibilities may include: - Exploring and combining rich internal and external textual datasets - Formulating research hypothesis to derive alpha - Building GenAI solutions, leveraging both internal models and external APIs REQUIREMENTS: - Bachelor, Master's or PhD degree in computer science or another quantitative discipline - Experience in NLP, particularly LLMs - Proficient in Python, SQL and general software engineering principles (github, testing, etc.) - Data science stack familiarity - Interest in financial markets - Collaborative mindset - Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.

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