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
Austin · PreferredChicago · PreferredGreenwich · PreferredHouston · PreferredNew York · PreferredChicago · RequiredNew York City · RequiredUnited States · Required
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You solve challenging trading-environment problems using statistical algorithms, machine learning techniques and derivatives pricing theory. You analyze market data, develop mathematical models, build research infrastructure, and use simulation, back-testing and validation tools to evaluate trading strategies.
Requirements
- Pursuing a Bachelor’s, Master’s or PhD in a technical discipline
- Focus on statistics, optimization, machine learning, artificial intelligence, quantitative finance or related fields
- Graduation between December 2027 and August 2028
- Python proficiency with numpy, pandas and scikit-learn
- Experience exploring large datasets
- Strong analytical and problem-solving skills
- Knowledge of statistics, probability theory, stochastic calculus and numerical algorithms
- Written and verbal communication skills
Responsibilities
- Create solutions to trading-environment problems
- Conduct statistical analysis of market data
- Analyze historical trends and relationships across asset classes
- Apply mathematical modeling and machine learning techniques
- Work with traders and researchers to build research infrastructure and tools
Benefits
- Fully furnished apartments near the office
- Educational activities
- Social activities
- Team-building activities
- Mentorship
- Options course
- Technology immersion course
