Quant Trader (Sports Prediction Markets)

About the role

Quant Trader (Sports & Prediction Markets) United States Trading - Quant Front Office / Full-time / Hybrid apply for this job About the role: You will help design the engine powering OG.com s liquidity. You ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation. Focus: Architecting a multi-market autonomous pricing engine. Responsibilities: Autonomous Live Valuation: Engineer the logic synthesizing real-time sports data, player metrics, and market feeds into fair-value anchors and dynamic, real-time spreads. Liability & Inventory Skewing: Build self-correcting models that automatically adjust odds based on book exposure and lopsided betting volume to incentivize balancing the book. Defensive Design & Sharp Mitigation: Implement high-velocity protocols to mitigate adverse selection from sharp action, court-siding, and information asymmetry in milliseconds. Risk Automation & Hedging: Define the algorithmic logic for warehousing sports risk internally versus routing and hedging exposure across external exchanges and market makers. Technical Translation: Convert complex sports pricing strategies and mathematical models into scalable requirements for data and platform engineering teams. Trading Desk Guardrails: Partner with the risk desk to define the engine s operational boundaries, maximum liability thresholds, and automated kill-switches. Real-Time Leadership: Act as the technical anchor during high-leverage sporting events, providing rapid calibration and manual intervention when the system is under peak pressure. 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). We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us. apply for this job