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### 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).