ML Researcher for AI-Driven Trading Signals

Point72; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Point72 is seeking a Quantitative Researcher - Machine Learning for roles in New York, London, or Hong Kong. The role focuses on developing AI-driven equity signals, leveraging large datasets, and state-of-the-art ML methods. Prior finance experience not required, but strong research credentials are essential.

The team emphasizes collaboration, rigorous evaluation, and scalable experimentation in a fast-growing environment. Proficiency in ML libraries and Python is required.

Qualifications

• Master’s or PhD in machine learning, CS, statistics, or related field.
• Strong experience or exposure to modern ML models and large datasets.
• Proficiency in ML libraries (Torch, JAX, TensorFlow) and Python tooling.

Responsibilities

• Manage all aspects of the research process from ideation to evaluation and application.
• Identify, adapt, and extend ML models to develop new signals that enhance portfolio returns.
• Stay up to date on AI/ML advances and recommend new models/tools to seize opportunities.

Skills

ML research

Python proficiency

Analytical skills

Communication skills

Education

Master’s or PhD in ML/CS/Stats

Tools

Torch

JAX

TensorFlow

Python ecosystem & clustering

Job description

Point72 is seeking a Quantitative Researcher - Machine Learning for roles in New York, London, or Hong Kong. The role focuses on developing AI-driven equity signals, leveraging large datasets, and state-of-the-art ML methods. Prior finance experience not required, but strong research credentials are essential.

The team emphasizes collaboration, rigorous evaluation, and scalable experimentation in a fast-growing environment. Proficiency in ML libraries and Python is required.