Quantitative Researcher
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
Develop mathematical models and automated trading strategies using statistical learning and machine learning methods. Analyze financial data, translate research strategies into production software, optimize order execution and risk management, and prototype algorithmic trades.
Requirements
- Degree in a technical discipline focused on statistics, machine learning, signal processing, optimization, and control
- Graduation between December 2026 and August 2027
- Curiosity for model development and experience handling large datasets
- Programming expertise in Python, R, MATLAB, or C++
- Hands-on experience applying machine learning algorithms to real-world problems
- Strong problem-solving and statistics skills
- Ability to lead assignments and deliver practical research results
Responsibilities
- Extract predictive signals from financial data
- Apply statistical analysis and machine learning techniques
- Assist software developers in translating research strategies into production software
- Optimize order execution and risk management
- Formulate mathematical models for trading strategies
- Conduct research to identify trading opportunities
- Automate human-decision-based trading strategies
- Prototype algorithmic trades from trading ideas