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
Solve challenging trading-environment problems using statistical algorithms, machine learning techniques, derivatives pricing theory, and custom research infrastructure for simulation, back-testing, and model validation.
Requirements
- Pursuing a bachelor's, master's, or PhD in a technical discipline focused on statistics, optimisation, machine learning, artificial intelligence, quantitative finance, or a related field
- Expected graduation date between December 2027 and October 2028
- Proficiency in Python using NumPy, pandas, scikit-learn, and related machine learning tools
- Programming experience exploring large datasets
- Strong analytical and problem-solving skills with a foundation in statistics
- Working knowledge of probability theory, stochastic calculus, and numerical algorithms
- Excellent written and verbal communication skills
- Exposure to natural language processing or high-performance computing is a plus
Responsibilities
- Create practical solutions to problems in the trading environment
- Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
- Formulate and apply mathematical models, quantitative methods, and machine learning techniques to identify and capture trading opportunities
- Work closely with traders and researchers to build and refine research infrastructure and tools
Benefits
- Organized social events
- Educational activities
- Team-building activities
- Fully furnished apartments located close to the office
- Mentorship
- Options course
- Technology immersion course