Quant jobs / Jump Trading

Quantitative Trader – Trading Team

A trader role in a high-frequency trading team, working beside senior traders and researchers. It centres on analysing strategy performance and tuning algorithms as markets change.

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.

Review strategy performance and spot where it drifts
Debug infrastructure problems affecting live strategies
Adjust algorithmic strategy parameters in response to market changes
Pass findings to researchers and traders

What they ask for

Required

Highly analytical thinking
Strong interest in market microstructure and macro
2+ years of programming, Python preferred
Linux administration basics
Clear communication across a global firm

Preferred

Statistics
Machine learning

Education: No degree level stated
Experience: 2+ years of programming or software engineering
Languages and tools: Python

How to prepare

Learn limit order book mechanics and microstructure
Write Python tools to analyse trade and fill logs
Learn Linux command-line debugging
Study basic statistics for assessing strategy performance

What to study

The HFT 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.