Quantitative Researcher - Prediction Markets, Quant Trading
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Job description preview
From Crypto.com’s original posting
We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: data engineering, research, modeling, and close collaboration with traders, across sports and non-sports event markets and a range of contract types, including single-outcome markets, player props, and parlays. Responsibilities: : • Build data foundation, transform raw data into pricing inputs • Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets • Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays • Partner closely with traders to improve pricing logic, market coverage, and trading performance • Build frameworks for backtesting, simulation, and model validation • Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes • Help define the tooling, workflow, and research standards for a new team Requirements: : • Strong quantitative background in statistics, math, ML, economics, or a…
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