Polymarket is the world’s largest prediction market, allowing you to stay informed and profit from your knowledge by trading on future events across various topics. Backed by General Catalyst and Founders Fund.
About the role
We're hiring a mid-level quantitative risk analyst to design and implement enterprise-scale risk models at the heart of our clearing operation. You'll own models for market risk, volatility and correlation of derivatives, stress testing, and automated liquidation — the systems that keep the platform solvent and users protected in fast-moving markets. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar
- Proven expertise designing and implementing risk models at enterprise scale — production systems, not just research prototypes
- Deep experience modeling volatility, correlation, option skews, option pricing and implementing at scale for trad-fi derivatives, perpetuals, and fully collateralized event contracts
- Hands-on experience with market risk modeling, stress testing, and auto-liquidation mechanics in a clearing context
- Strong fluency with AI-assisted development and coding, paired with the judgment to pressure-test AI outputs against well-established risk models and catch what looks plausible but is wrong
- Expert-level Python (numerical stack: NumPy, pandas, SciPy, solid software engineering practices)
More about this role
Polymarket is the world's largest prediction market platform, where people trade on the outcomes of real-world events. As our markets, volumes, and derivative product suite grow, so does the sophistication of the risk infrastructure behind them. Our clearing and risk systems must operate with the rigor of a traditional clearinghouse while moving at the speed of a crypto-native trading platform.
We're hiring a mid-level quantitative risk analyst to design and implement enterprise-scale risk models at the heart of our clearing operation. You'll own models for market risk, volatility and correlation of derivatives, stress testing, and automated liquidation — the systems that keep the platform solvent and users protected in fast-moving markets.
This is a hands-on role: you'll be building models in production code, not just specifying them. We expect you to work fluently with AI tools for development and research — and to be the skeptic in the room, pressure-testing AI-generated models and code against well-established risk frameworks before anything ships.
Design, implement, and maintain enterprise-scale risk models covering market risk, margin, and counterparty exposure for a...
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