Quant jobs / Jump Trading

Campus Quantitative Researcher (Full-Time)

A graduate quant role at Jump that blends research, trading and development, starting with a training programme. You build predictive models and automated strategies that trade on exchanges worldwide.

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.

Complete in-house training in trading, statistics, Python, C++ and ML
Build predictive models on large datasets
Develop automated strategies and test them in live markets
Gradually specialise towards research, trading or development

What they ask for

Required

Strong programming and/or quantitative analysis
Statistics, mathematics or machine learning
Drive to learn quickly
Reliable availability

Preferred

Training in CS or maths
Exceptional achievement in any technical field

Education: Strong undergraduate or graduate degree in a technical field
Experience: New graduates; no finance knowledge needed
Languages and tools: Python
C++
R

How to prepare

Build a small signal research pipeline in Python with honest out-of-sample tests
Learn C++ basics and write a short performance-sensitive program
Revise statistics, regression and probability
Read about market mechanics and order books

What to study

The Quantitative 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.