Quantitative Developer

What You Bring:

• A bachelor's, master's, or PhD degree in computer science, computer engineering, or another technical field
• At least two years of experience developing production software, primarily in Python and/or C++, with the ability and willingness to work across languages when needed
• Strong computer science fundamentals and sound instincts in software design, debugging, testing, and performance analysis
• The ability to enter an unfamiliar system, develop a clear mental model of it, and identify practical ways to improve its reliability, simplicity, and performance
• Fluency in a UNIX/Linux environment and a working understanding of operating systems, concurrency, networking, and system performance
• A track record of scoping and delivering production systems in fast-moving or ambiguous environments
• High ownership, good judgment, and a bias toward action—you identify risks early, reduce unnecessary complexity, and take pride in building systems that others rely on
• Clear communication and a collaborative working style, particularly when working across research and engineering disciplines
• Experience in trading or finance is not required. We value strong engineering and problem-solving ability and will provide the domain-specific training needed to succeed.
• Nice to Have:
• Experience developing deep learning systems with PyTorch
• Experience with GPU computing, kernel development, distributed training, or performance optimization
• Hands-on experience building and operating machine learning or data pipelines in production
• Experience developing large-scale, concurrent, high-throughput, or performance-sensitive systems
• A strong foundation in mathematics, statistics, optimization, or machine learning
• Experience building tools and infrastructure for quantitative researchers, data scientists, or similarly technical users
• Why This Role:
• Build from an early stage — Help shape a new systematic trading business, with broad scope, short feedback loops, direct influence over how the team operates, and the opportunity to share in its success
• Autonomy with mentorship — Make meaningful technical decisions while learning from experienced researchers and trading-system engineers across the team and the firm
• Broad, end-to-end ownership — Take systems from research and development through deployment and live trading, working across software, data, machine learning, and financial markets
• AI-native engineering — Work in an environment where AI-assisted coding, testing and research are deeply embedded in the development workflow
• The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
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