Quantitative Researcher – Prediction Markets, Quant Trading

🔥 6 minutes ago

🤠 Texas – Remote

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💵 $100k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🦅 H1B Visa Sponsor

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Logo of Crypto.com

Crypto.com

1001 - 5000 employees

Founded 2016

₿ Crypto

💳 Fintech

🔐 Security

Crypto • Fintech • Security

Crypto. com is a leading cryptocurrency platform that offers trading, buying, and selling services for Bitcoin, Ethereum, and over 350 other cryptocurrencies. It supports transactions in EUR and allows users to pay via SEPA and Apple/Google Pay, depending on jurisdiction. The platform is known for its regulatory compliance and high security standards, with over 100 million users worldwide. Crypto. com also offers products like Crypto Basket for portfolio diversification, on-chain staking for passive income, and the DeFi Wallet for P2P trading. With a commitment to user security and regulatory adherence, Crypto. com holds numerous security certifications and licenses globally. It aims to put cryptocurrency in every wallet and provides various tools for trading, earning rewards, and understanding the crypto market.

📋 Description

• 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

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