Quant jobs / Jump Trading

Quantitative Researcher – Trading Team

A researcher in one of the firm's quantitative trading teams, forecasting markets and building predictive trading models. You work with traders, developers and other scientists.

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.

Analyse very large market datasets to find patterns and predictive signals
Fit and test statistical and machine learning forecasting models
Work with developers to turn models into live trading strategies
Improve existing strategies through ongoing research

What they ask for

Required

Record of profitable trading strategies
C++ and Python in Linux
Regression, neural networks or support vector machines
Statistical modelling in a trading setting
Large datasets
Python, R or MATLAB for research

Education: Master's or PhD in statistics, physics, maths or similar
Experience: Experience building statistical models in trading; track record with profitable strategies
Languages and tools: C++
Python
R
MATLAB

How to prepare

Build and honestly backtest a forecasting model on public market data
Compare linear models with a small neural network and explain the gap
Get comfortable doing research on Linux
Write up a strategy's results including costs and capacity

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.