Working with a well-capitalized, technology-first trading group building systematic strategies in sports prediction markets. The team operates with a tight feedback loop between research, engineering, and live trading. They're looking to bring SWE's on help build and scale the infra that powers real-time pricing, execution, and data ingestion across sports markets.
What You'd Be Working On
• Production trading systems for pre-game and live/in-play sports markets
• Real-time ingestion and processing of sports, pricing, and event data
• Execution, monitoring, and risk systems tied directly to live outcomes
• Research infrastructure used by quantitative traders and researchers
• Performance, reliability, and system robustness in fast-moving markets
Ideal Background
• Strong experience in Python, C++, Rust, or Java
• Experience building event-driven or real-time systems
• Familiarity with trading systems, betting platforms, or market data pipelines is a plus
• Comfort working close to live markets where speed and correctness matter
• Strong ownership mindset and ability to work end-to-end
Why This Role
• Direct impact on live sports markets and real-world outcomes
• High level of autonomy and technical ownership
• Small, senior team with strong engineering culture
• Competitive compensation with real upside tied to performance
