PhD Quant Research Intern — Summer 2027 (In-Person)

Jump Trading; New York (NY); On-site; USD 255,000 - 345,000; Full time

Job summary

Jump Trading Group is hosting a 10-week PhD quant research internship designed to expose you to real problems, data, and markets. The program runs in person during Summer 2027 in our Chicago and New York offices, starting with two weeks of training on our research process, machine learning, statistics, Python, and the infrastructure you’ll use all summer.

From there, you’ll be matched with a trading team and spend the remaining weeks working 1:1 with experienced researchers on a real-world

Qualifications

• Pursuing a PhD in statistics, mathematics, computer science, physics, or a highly quantitative field.
• Experience with large datasets, cleaning, and feature engineering.
• Ability to work on real-world data with mentorship in a research setting.

Responsibilities

• Match with a trading team and own a research project from end to end.
• Collect, clean, and explore large datasets and engineer predictive features.
• Build, fit, and evaluate models on a supercomputing grid; present results to the team.
• Receive daily 1:1 mentorship from experienced quant researchers with increasing autonomy.
• Other duties as assigned or needed.

Skills

Statistical analysis

Machine learning

Data mining

Python programming

Problem solving

Education

PhD candidate in quantitative field

Tools

Python

C++

Job description

Jump Trading Group is hosting a 10-week PhD quant research internship designed to expose you to real problems, data, and markets. The program runs in person during Summer 2027 in our Chicago and New York offices, starting with two weeks of training on our research process, machine learning, statistics, Python, and the infrastructure you’ll use all summer.

From there, you’ll be matched with a trading team and spend the remaining weeks working 1:1 with experienced researchers on a real-world