Software Engineer - Prediction Markets (Python)

• Grow research tooling and infrastructure to support the business
• Implement trading signals and strategies
• Create infrastructure that allows the desk to efficiently capture market opportunity
• Take full ownership of the products you create, from prototype to stable production
• Work with both greenfield and legacy systems, primarily in Python
• Provide on-call support as needed

• A minimum of 2+ years' experience in Python, with the ability to work comfortably across multiple programming languages
• A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
• Experience building trade capture, position management, middle-office, or reconciliation systems
• Familiarity with real-time data processing and multi-venue environments
• Familiarity interacting with on-chain data
• Understanding of trading operations (order lifecycle, break resolution, audit trails, PnL calculation)
• Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
• Exceptional interpersonal skills — you communicate clearly with traders, researchers, and other engineers, fostering a collaborative, supportive working environment
• Experience in the financial markets, crypto, or prediction markets is a plus
• Experience with linux-based, concurrent, high-throughput software systems
• Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience

The annual base salary range for this position is $150,000 to $225,000 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.

#LI-BL1