Quant jobs / Jump Trading

Campus Quantitative Researcher, PhD (Intern)

A 10-week summer internship for PhD students in quant research at Jump. You own a real research project matched to a trading team.

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.

Own a research project on predictive modelling or alpha research
Clean and engineer features from large noisy datasets
Fit and evaluate models on the supercomputing grid
Present results to the team

What they ask for

Required

Current PhD in a highly quantitative field
Hypothesis-driven research and statistical rigour
In-depth research with real-world data
Python
Communication and initiative

Preferred

C++ and/or Python proficiency
Familiarity with financial markets

Education: Currently pursuing a PhD in statistics, maths, CS, physics or another highly quantitative field
Experience: Current PhD students
Languages and tools: Python
C++

How to prepare

Complete a research project with messy real data and write it up
Practise out-of-sample testing and multiple-testing control
Learn feature engineering for noisy time series
Build C++ fluency alongside Python

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.