Quant jobs / Jump Trading

Campus AI Researcher, PhD/Postdoc (Intern)

A London research internship for PhD students and postdocs in machine learning at Jump. You run an open-ended ML research project inside a trading team.

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.

Pursue a research project on predictive modelling for trading
Improve model design, tools and infrastructure
Evaluate ideas against live market feedback
Communicate results to trading researchers

What they ask for

Required

Strong ML publications or open-source AI work
Modern deep learning such as transformers
Python and/or C++
PyTorch, TensorFlow or JAX
Quantitative reasoning and communication

Preferred

HPC and distributed training
GPU optimisation (CUDA or ROCm)
End-to-end model development

Education: PhD student or postdoc in machine learning or similar (from title)
Experience: Current PhD students or postdocs
Languages and tools: Python
C++
PyTorch
TensorFlow
JAX

How to prepare

Publish or reproduce research on sequence models
Run a leakage-safe evaluation of a deep model on noisy data
Read about non-stationarity in financial time series
Build a clean, reproducible research repo

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

View the posting on Jump Trading’s site ↗

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