Quantitative Developer Intern (Python)
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
Implement software solutions using advanced statistical methods for automated trading strategies. Design, develop, test, and deploy trading software; optimize data processing and modeling; translate research strategies into production software; manage trading-system risk and execution; and work with asynchronous, multithreaded, and networked systems.
Requirements
- Pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics, or a related science discipline
- Expected graduation between December 2027 and June 2028
- Excellent Python software development skills
- Strong problem-solving and statistics skills
- Skills in asynchronous and multithreaded software
- Experience handling, maintaining, and processing large datasets
- Network programming skills
- Understanding of object-oriented design, data structures, and algorithms
Responsibilities
- Design, develop, test, and deploy proprietary software solutions for algorithmic trading systems
- Optimize large-scale data processing and modeling
- Translate research-based trading strategies into production software
- Build software for trading-system risk and execution
- Automate human-decision-based trading strategies and implement algorithmic trades
- Manage technology requirements and evaluate new technologies
Benefits
- Educational activities
- Social activities
- Team-building activities
- Mentorship
- Meaningful internship projects
- Access to cutting-edge technology, hardware, and grid computing