Quant jobs / Jump Trading

Research Scientist / Research Engineer – Deep Learning

A deep learning role in the firm's quantitative trading research. You take open-ended research from idea to production anywhere along the research and monetisation process.

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.

Run an open-ended deep learning project from concept to a production model
Improve model design, tooling and infrastructure
Combine ML with statistics and market intuition on trading problems
Work with researchers and engineers on deployment

What they ask for

Required

5+ years building deep learning systems with measurable impact
Python and/or C++
Strong maths and statistics
Strong publication record at top ML venues
Clear written and spoken English

Education: PhD or Master's in computer science, maths or similar
Experience: 5+ years of deep learning in industry or academia
Languages and tools: Python
C++

How to prepare

Build and honestly evaluate a deep learning forecaster on financial time series
Study why ML overfits at low signal-to-noise
Reproduce a recent paper and document it
Revise statistics fundamentals

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.