Quantitative Developer

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, 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.

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 on the current stack

You will be at home if you have...

• Are pursuing a bachelor's, master's, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between December 2025 and June 2026
• 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

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