Quantitative Research Intern
DRW is a Chicago-based diversified trading firm that uses technology, quantitative research, and risk management to provide liquidity across traditional and digital-asset markets.
About DRW
Founded by Don Wilson in 1992, DRW trades for its own account across global markets and operates strategies in cryptoassets, venture capital, real estate, carbon markets, and public-equity investments. Its crypto business, Cumberland, has provided institutional crypto-asset liquidity since 2014.
Skills
Candidate Availability
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