DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk across a broad range of asset classes, instruments and strategies in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW—maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.
As a Quantitative Developer Intern, you will implement software solutions that use advanced statistical methods and have a direct impact on automated trading strategies across multiple asset classes. You will work closely with our Quantitative Researchers on idea generation and development and will be able to solve challenging technological problems. You will have access to cutting-edge technology, hardware and grid computing and will be given immediate responsibility. While your days will have you immersed in complex projects directly driving DRW's progress, your time will also be packed with education, responsibility, problem-solving and social events to experience what it is like to work at DRW.
How you will make an impact...
- Design, develop, test and deploy proprietary software solutions for complex algorithmic trading systems.
- Optimize large-scale data processing and modelling.
- Collaborate with researchers to translate research-based trading strategies into production software.
- Build software to manage risk and execution of our trading system.
- Automate human-decision-based trading strategies and implement algorithmic trades from trading ideas.
- Manage day-to-day technology requirements of our proprietary trading systems and evaluate new technologies to improve the current stack.
You will be at home if you...
- Are pursuing a bachelor’s, master’s or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or a related science discipline and have an expected graduation date between December 2027 and June 2028.
- Have excellent software development skills in Python.
- Have strong problem-solving and statistics skills.
- Have skills in asynchronous and multithreaded software, handling, maintaining and processing large data sets, and network programming.
- Have a strong understanding of object-oriented design, data structures and algorithms.
What to expect during the internship...
- Meaningful projects: You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides meaningful work experience.
- Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie.
- Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at mentor outings.
DRW is a diversified trading firm with over three decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe and Asia, we trade a variety of asset classes, including Fixed Income, ETFs, Equities, FX, Commodities and Energy, across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters—it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.