PhD Quant Research Intern — Real Markets, Real Impact

Trading Interview; New York (NY); On-site; USD 270,000 - 330,000; Full time

Job summary

Jump Trading Group offers a 10-week PhD quant research internship in Chicago and New York, open to current PhD students. The program covers research process, ML, statistics, trading, Python, and the infrastructure used all summer; you'll be matched with a trading team based on your background and interests, working 1:1 with experienced researchers on a live project tied to business needs.

You'll explore a broad spectrum of methods, from classical statistics to deep learning, and develop

Qualifications

• Currently pursuing a PhD in a quantitative field with emphasis on research.
• Strong data analysis, statistics, and programming skills required.
• Ability to form hypotheses, design tests, and interpret results.
• Experience with real-world data and research projects is preferred.
• Excellent communication and collaborative work style.

Responsibilities

• Match with a trading team and own a research project end to end.
• Collect, clean, and explore large datasets to generate predictive signals.
• Build, fit, and evaluate models on a computing grid and present results.
• Receive daily 1:1 mentorship and increase autonomy over the summer.
• Contribute to live business needs with rigorous research.

Skills

PhD candidate

Python programming

Statistical modeling

Data analysis

Team collaboration

Education

PhD in Statistics/Mathematics/CS/Physics

Tools

Python

C++

Job description

Jump Trading Group offers a 10-week PhD quant research internship in Chicago and New York, open to current PhD students. The program covers research process, ML, statistics, trading, Python, and the infrastructure used all summer; you'll be matched with a trading team based on your background and interests, working 1:1 with experienced researchers on a live project tied to business needs.

You'll explore a broad spectrum of methods, from classical statistics to deep learning, and develop