Quantitative Developer Intern (Python)
DRW·Singapore·Hedge Fund & Quant
DRW is hiring a Quantitative Developer Intern (Python) in Singapore. Posted 2026-07-13; applications close 2026-10-04 (in 29 days).
Role details
About DRW
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. Over the past 25 years, DRW has evolved to include opportunities in 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.
DRW is 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 also operate in three non-traditional strategies: real estate, venture capital, and cryptoassets. We value autonomy and the ability to quickly pivot to capture opportunities, and we operate with respect, curiosity, and open minds.
Quantitative Developer Intern
As a Quantitative Developer Intern, you will implement software solutions using advanced statistical methods, with direct impact on automated trading strategies across multiple asset classes. You will work closely with our Quantitative Researchers on idea generation and development and be able to solve challenging technological problems. You will have access to cutting-edge technology, hardware, and grid computing, with immediate responsibility.
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 modeling
- 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 on the current stack
Qualifications
- Currently pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics, or a related science discipline; expected graduation date between December 2027 and June 2028
- Excellent software development skills in Python
- Strong problem-solving and statistics skills
- Skills in asynchronous and multi-threaded software; handling, maintaining, and processing large data sets; and network programming
- A strong understanding of object-oriented design, data structures, and algorithms
What to Expect During the Internship
- Meaningful projects: Receive a challenging project during your time here. Each project, advised by a software engineer, provides a comprehensive learning experience and meaningful work experience.
- Community: Throughout the summer, we host a variety of educational, social, and team-building activities to foster friendship and camaraderie.
- Mentorship: Build a professional relationship with an experienced mentor. Mentors and mentees meet to discuss goals, challenges, and professional development, and explore the city together at mentor outings.
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Applying to this role
This Quantitative Developer Intern (Python) role at DRW runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for Quantitative Developer Intern (Python) at DRW. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-09-04.
