Quant Trader (Sports & Prediction Markets)

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  "last_changed_at": "2026-05-31T10:36:01.055Z",
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{
  "lists": [
    {
      "text": "Responsibilities: ",
      "content": "\n<li data-path-to-node=\"7,0,0\" style=\"text-align: left;\"><strong data-path-to-node=\"7,0,0\" data-index-in-node=\"0\">Autonomous Live Valuation:</strong> Engineer the logic synthesizing real-time sports data, player metrics, and market feeds into fair-value anchors and dynamic, real-time spreads.</li>\n<li data-path-to-node=\"7,0,0\"><strong data-path-to-node=\"7,1,0\" data-index-in-node=\"0\">Liability &amp; Inventory Skewing:</strong> Build self-correcting models that automatically adjust odds based on book exposure and lopsided betting volume to incentivize balancing the book.</li>\n<li data-path-to-node=\"7,2,0\"><strong data-path-to-node=\"7,2,0\" data-index-in-node=\"0\">Defensive Design &amp; Sharp Mitigation:</strong> Implement high-velocity protocols to mitigate adverse selection from \"sharp\" action, court-siding, and information asymmetry in milliseconds.</li>\n<li style=\"text-align: left;\"><strong data-path-to-node=\"7,3,0\" data-index-in-node=\"0\">Risk Automation &amp; Hedging:</strong> Define the algorithmic logic for warehousing sports risk internally versus routing and hedging exposure across external exchanges and market makers.</li>\n<li data-path-to-node=\"11,0,0\"><strong data-path-to-node=\"11,0,0\" data-index-in-node=\"0\">Technical Translation:</strong> Convert complex sports pricing strategies and mathematical models into scalable requirements for data and platform engineering teams.</li>\n<li data-path-to-node=\"11,1,0\"><strong data-path-to-node=\"11,1,0\" data-index-in-node=\"0\">Trading Desk Guardrails:</strong> Partner with the risk desk to define the engine’s operational boundaries, maximum liability thresholds, and automated kill-switches.</li>\n<li><strong data-path-to-node=\"11,2,0\" data-index-in-node=\"0\">Real-Time Leadership:</strong> Act as the technical anchor during high-leverage sporting events, providing rapid calibration and manual intervention when the system is under peak pressure.</li>\n"
    },
    {
      "text": "Requirements:",
      "content": "\n<li data-path-to-node=\"9,0,0\"><strong data-path-to-node=\"9,0,0\" data-index-in-node=\"0\">Quantitative Sports Fluency:</strong> Deep understanding of probability, binary prediction contracts, and sports analytics; treating every match, inning, or political event as a shifting probability curve.</li>\n<li data-path-to-node=\"9,1,0\"><strong data-path-to-node=\"9,1,0\" data-index-in-node=\"0\">Pipeline Design:</strong> Experience building production-ready betting or trading systems, from low-latency sports data ingestion (e.g., Opta, Sportradar) to automated bet acceptance engines.</li>\n<li data-path-to-node=\"9,2,0\"><strong data-path-to-node=\"9,2,0\" data-index-in-node=\"0\">Applied Data Science:</strong> Success deploying predictive models that learn from in-play microstructure, public betting sentiment, and price velocity.</li>\n<li data-path-to-node=\"9,3,0\"><strong data-path-to-node=\"9,3,0\" data-index-in-node=\"0\">Systems Integrity:</strong> Expertise in building error-tolerant infrastructure that remains rock-solid under extreme throughput (e.g., Super Bowl, World Cup, or election nights).</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1780023018718,
  "updatedAt": null,
  "categories": {
    "team": "Quant Front Office",
    "location": "United States",
    "commitment": "Full-time",
    "department": "Trading",
    "allLocations": [
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