Quant Trader (Sports & Prediction Markets) at Crypto.com · Web3Vacancy
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Quant Trader (Sports & Prediction Markets)

Remote
Market range (est.) $90k–$180k
◆ 6/10 analyticscryptofintechOther
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About this role

Join Crypto.com as a Quant Trader to design and maintain a multi-market autonomous pricing engine for sports and prediction markets.

Description

Crypto.com is a leading cryptocurrency platform that offers a wide range of financial services, including trading, investing, and payment solutions.

Responsibilities

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

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
Market range (est.)$90k–$180k
LocationRemote
AI Score★★★★★★☆☆☆☆ 6/10
PostedMay 29, 2026 (54d ago)
Tags & Skills
analyticscryptofintechOtherremote

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