Crypto26d ago

Quant Trader (Sports & Prediction Markets)

United Kingdom·LondonFull-timemid

OtherQuant Trader

3 views0 saves0 applied

Apply Now

Quick Summary

Overview

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.

Technical Tools

OtherQuant Trader

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.

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.

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).