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Quant Trader (Sports & Prediction Markets)

Posted about 1 month ago

OfficeUnited States
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).
  • Job details
    Workplace
    Office
    Location
    United States

    Buy, sell, store, and trade over 400+ cryptocurrencies on Crypto.com, a secure and trusted crypto exchange platform in Singapore.

    Employees
    7542
    Industry
    Financial Services
    Headquarters
    Singapore
    Founded
    2016
    Company location
    1 Raffles Quay (North Tower), #09-06, Singapore, 048583, SG
    Specialties
    Blockchain, Cryptocurrency, FX, and Mobile Payments

    Key team members

    Antoine Blondeau

    Antoine Blondeau

    Steven Kalifowitz

    Steven Kalifowitz

    Vivian Wan

    Vivian Wan

    Rob Bier

    Rob Bier

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