Quant jobs / Point72

Quantitative Researcher – Machine Learning

A machine learning research role in Point72's Internal Alpha Capture team, producing AI-driven equity signals from proprietary data. Researchers own the whole cycle from idea to deployment.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Choose and implement ML methods for new signal ideas
Adapt published models to proprietary data
Run original research for new signals or other target variables
Track new AI and ML advances and recommend tools

What they ask for

Required

Master's or PhD in ML, computer science or statistics
Research on large noisy data sets
Torch, JAX or TensorFlow
Python and software engineering practice
Cluster computing

Preferred

Sequence models
Graph neural networks
Reinforcement learning
LLMs

Education: Master's or PhD in machine learning, computer science, statistics or related fields.
Experience: Research experience with ML on large noisy data; finance not required.
Languages and tools: Python
PyTorch
JAX
TensorFlow
Markets: equities

How to prepare

Train sequence models on a noisy time series and test out-of-sample
Study why financial ML needs careful validation
Practise using JAX or PyTorch on a cluster
Read recent work on LLMs and graph models applied to finance

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Point72’s site before applying: requirements, location and pay can change after we check them.

View the posting on Point72’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.