aimlroles

NLP Researcher

Point72 point72.com Open · verified Oct 22, 2026
New York Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Point72. New York · full-time · no salary stated · we estimate $181,850–$300,000.

Estimated pay

Point72 has not published a salary for this role. The figure below is our estimate, not theirs.

$181,850 – $300,000
What the middle half of mid-level AI research roles in New York paid, among postings that did state a salary.
Worked out from 32 postings that stated pay, median $237,500. Last updated Oct 18, 2026.
RoleAI Research
SeniorityMid-level
LocationNew York
EmploymentFull-time
PostedApr 29, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Turn varied datasets into features with NLP, then use them to develop research signals
  • Frame hypotheses about potential alpha and test them against NLP and financial data
  • Measure trading-signal performance and move promising signals into production

What you bring

  • A degree in computer science or another quantitative subject, at bachelor’s level or higher
  • Strong Python and software engineering skills, including version control, testing and development workflows
  • A solid grounding in machine learning and statistics

Who this fits

This role suits a quantitative researcher interested in financial markets, with some exposure to modern NLP. Collaboration and curiosity about finance and trading are part of the stated expectations.

From the employer

Role/Responsibilities:

We are seeking a quantitative researcher to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.

Responsibilities may include:

  • Using NLP to construct features from varied datasets
  • Formulating research hypotheses to derive alpha
  • Building and testing the performance of trading signals based on NLP and financial features
  • Launching identified signals into production

Requirements:

  • Bachelor’s, Master’s or PhD degree in computer science or other quantitative discipline
  • Proficient in Python and general software engineering principles (github, testing, dev workflow)
  • Strong understanding of machine learning and statistics
  • Prior research experience preferred
  • Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
  • Data science stack familiarity preferred
  • An interest in financial markets
  • Great attitude
  • A collaborative mindset
  • Commitment to the highest ethical standards

About Point72:

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.