Campus Quantitative Researcher
Jump Trading is a global trading firm where traders, engineers, and researchers develop trading strategies, models, infrastructure, and systems across asset classes and time horizons.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own a quantitative research project from start to finish, collect and explore large datasets, engineer predictive features, build and evaluate models, and present your results. You will receive daily mentorship while researching live-market problems and developing models for trading systems.
Requirements
- Currently pursuing a PhD in Statistics, Mathematics, Computer Science, Physics, or another highly quantitative field
- Systematic research thinking
- Experience conducting an in-depth research project with real-world data
- Python programming experience
- Ability to read, understand, and debug code
- Communication and collaboration
- Creativity and initiative
- Perseverance
- Reliable and predictable availability
Responsibilities
- Own a research project end to end
- Collect, clean, and explore large datasets
- Engineer features that turn raw data into predictive signals
- Build, fit, and evaluate models
- Present research results to the team
- Conduct research on predictive modeling and alpha research
- Improve models and systems behind live trading
Benefits
- Work visa sponsorship for full-time positions