PhD Quant Research Intern: Live Markets & Big Data

Jump Trading; Chicago (IL); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

CPT/OPT eligible

Visa sponsorship for full-time roles

Job summary

Jump Trading Group is seeking PhD researchers for a 10-week internships in Chicago and New York, offering hands-on experience with real problems, data, and live markets. Two weeks of training cover research process, machine learning, statistics, trading, Python, and infrastructure, followed by a 1:1 project with an experienced researcher.

You'll work on projects spanning asset classes and time horizons, form hypotheses, test rigorously, and present results.

Qualifications

• Currently pursuing a PhD in Statistics, Mathematics, Computer Science, Physics, or any highly quantitative field.
• Strong Python programming and coding skills.
• Experience with statistical analysis and machine learning on real data.
• Ability to work with large datasets and communicate results clearly.

Responsibilities

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

Skills

Python programming

Statistical analysis

Machine learning

Data exploration

Research methodology

Collaboration

Education

PhD candidate in statistics, mathematics, computer science, or physics

Tools

C++

Job description

Jump Trading Group is seeking PhD researchers for a 10-week internships in Chicago and New York, offering hands-on experience with real problems, data, and live markets. Two weeks of training cover research process, machine learning, statistics, trading, Python, and infrastructure, followed by a 1:1 project with an experienced researcher.

You'll work on projects spanning asset classes and time horizons, form hypotheses, test rigorously, and present results.