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Crypto.com

Quantitative Researcher - Prediction Markets, Quant Trading

Crypto.com · remote · full-time · $100000–$150000 USD
analyticscryptofintechweb3 Pythondata engineeringquantitative modelingstatisticsmachine learningeconomics
9.0
AI Score
The vacancy is well-structured with clear responsibilities and compensation, making it appealing to qualified applicants.
Job description
We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets.
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 related field • Experience building models in trading, sports, betting, prediction markets, or similar domains • Strong Python/data skills and comfort owning data pipelines as well as modeling • Ability to move quickly from raw data to research insight to production-ready mode • High ownership, strong communication skills and comfortable with fast-paced high growth environment
About Crypto.com
Crypto.com is a leading cryptocurrency platform that provides services including trading, custody, payments, and Web3 solutions to accelerate the adoption of cryptocurrency worldwide. It operates in multiple jurisdictions with a focus on regulatory compliance and serves both retail and professional investors.
Crypto · 1000+ · Hong Kong, Hong Kong SAR · Founded 2016 · https://crypto.com/?ref=sailonchain.com
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