Quantitative Researcher
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 will develop mathematical models and automated trading strategies using statistical learning and machine learning methods. You will extract predictive signals from financial data, translate research strategies into production software, optimize order execution and risk management, formulate mathematical models, 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 innovative research to identify trading opportunities
- Automate human-decision-based trading strategies
- Prototype algorithmic trades from trading ideas