Quant Trader (Sports & Prediction Markets)

Core Requirements

• Quantitative Sports Fluency: Deep understanding of probability, binary prediction contracts, and sports analytics; treating every match, inning, or political event as a shifting probability curve.
• Pipeline Design: Experience building production-ready betting or trading systems, from low-latency sports data ingestion (e.g., Opta, Sportradar) to automated bet acceptance engines.
• Applied Data Science: Success deploying predictive models that learn from in-play microstructure, public betting sentiment, and price velocity.
• Systems Integrity: Expertise in building error-tolerant infrastructure that remains rock-solid under extreme throughput (e.g., Super Bowl, World Cup, or election nights).