Campus Quantitative Researcher, PhD (Intern)

About the role

Join Jump Trading's 10-week PhD Quantitative Research Internship in Summer 2027 in Chicago or New York. Work on real trading research projects with expert mentorship, gaining hands-on experience in predictive modeling and data analysis.

About the Role

• 10-week intensive summer internship in Chicago and New York, Summer 2027.
• First two weeks focus on training in research, machine learning, statistics, Python, and trading.
• Matched with a trading team to work on real-world research projects.
• Research spans all asset classes and time horizons, using diverse methods.
• Emphasis on rigorous hypothesis testing and statistically sound conclusions.
• Internship is a pathway to full-time employment at Jump Trading.

Responsibilities

• Own a research project end-to-end with a trading team.
• Collect, clean, and explore large, noisy datasets.
• Engineer features to convert raw data into predictive signals.
• Build, fit, and evaluate models using supercomputing resources.
• Present results regularly, culminating in a final presentation.
• Receive daily 1:1 mentorship from experienced researchers.

Requirements

• Currently pursuing a PhD in a quantitative field like Statistics, Math, CS, Physics.
• Strong systematic research skills: hypothesis formation, rigorous testing, sound conclusions.
• Ownership of research decisions and clear explanation of methodology.
• Experience with in-depth research projects using real-world data.
• Proficient in Python programming and debugging.
• Collaborative and communicative work style with initiative and perseverance.

Nice to Have

• Proficiency in C++ programming is a plus.
• Familiarity with financial markets helpful but not required.
• Reliable and predictable availability during internship.