Quantitative Research Intern
Global principal trading firm; parent of Cumberland (crypto market maker).
Chicago, Illinois, USA
About DRW
DRW (drw.com) is a Chicago-based global principal trading firm across asset classes; its crypto arm is Cumberland, a leading digital-asset market maker.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You solve challenging problems in a trading environment using statistical algorithms, machine learning techniques, and derivatives pricing theory. You conduct market-data analysis, develop quantitative models, build research tools, and collaborate with traders and researchers to identify trading opportunities.
Requirements
- Pursuing a Bachelor's, Master's, or PhD in a technical discipline focused on statistics, optimization, machine learning, artificial intelligence, quantitative finance, or a related field
- Graduating between December 2027 and August 2028
- Proficiency in Python and the Python machine learning stack, including numpy, pandas, and scikit-learn
- Programming experience exploring large datasets
- Strong analytical and problem-solving skills with a solid foundation in statistics
- Working knowledge of probability theory, stochastic calculus, and numerical algorithms
- Excellent written and verbal communication skills
Responsibilities
- Create practical solutions to trading-environment problems
- Conduct statistical analysis of market data, historical trends, and relationships across asset classes
- Formulate and apply mathematical models, quantitative methods, and machine learning techniques to identify trading opportunities
- Build and refine research infrastructure and tools with traders and researchers
Benefits
- Organized social events
