Quant jobs / JPMorgan

AI/ML Researcher – Automated Trading Strategies

ML researcher improving models for systematic trading in the Automated Trading Strategies group, with work going directly into production. Small team with independence over research direction.

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.

Apply ML to find predictive patterns in large datasets
Improve featurisation, architecture and training of live models
Plug prediction models into existing strategies or new ones
Contribute to the team's ML library and production trading code

What they ask for

Required

Master's or PhD in ML, maths, statistics, computer science or engineering
1+ year of ML or deep learning research
PyTorch, TensorFlow or equivalent
Comparing alternative solutions and trade-offs

Preferred

Strong engineering skills
Java, C++ or C# alongside Python

Education: Master's, PhD or equivalent in ML, maths, statistics, computer science or engineering
Experience: At least 1 year of ML or deep learning research in any domain; finance experience not required
Languages and tools: Python
PyTorch
TensorFlow
Java
C++
C#
Markets: fx, fixed-income, commodities, credit

How to prepare

Train a deep model on public FX or futures data and evaluate it with walk-forward splits
Learn why financial ML overfits and how to guard against leakage
Build features from market data and test their stability across regimes
Read about turning a prediction into a position with costs

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 JPMorgan’s site before applying: requirements, location and pay can change after we check them.

View the posting on JPMorgan’s site ↗

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