Quant jobs / Jump Trading

Deep Learning Researcher – Trading Team

A deep learning researcher on a Jump trading team in Asia who builds predictive models. The role takes open-ended projects from concept to production.

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.

Develop deep learning models for trading signals
Improve model design, tools and infrastructure
Take research projects to production
Work with trading researchers

What they ask for

Required

5+ years building deep learning systems
Python and/or C++
Maths and statistics foundations
Strong ML publications
PhD or Masters in CS, maths or similar
English communication

Education: PhD or Master's in computer science, maths or related
Experience: 5+ years developing deep learning systems with measurable impact
Languages and tools: Python
C++

How to prepare

Reproduce a modern sequence-model paper
Evaluate deep models on noisy data with leakage-safe splits
Study uncertainty and regularisation in low signal-to-noise settings
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.