Quant Risk Analyst - Derivatives & Clearing

Polymarket • New York, NY

9d • $400,000 - $450,000 • Onsite

About The Position

Polymarket is hiring a mid-level quantitative risk analyst to design and implement enterprise-scale risk models for its clearing operation. The role owns models for market risk, derivative volatility and correlation, stress testing, and automated liquidation, supporting the solvency of the platform and protection of users in fast-moving markets.

This is a hands-on production role involving building models in code. The analyst will use AI tools for development and research while critically validating AI-generated models and code against established risk frameworks. The role works closely with engineering, trading, and product teams to integrate risk controls into the platform, monitor and improve production models, and maintain audit-ready documentation of assumptions, limitations, and validation results. The position is based in Polymarket’s New York City office and is in person.

Requirements

• 5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar organization.
• Proven expertise designing and implementing enterprise-scale risk models in production systems, rather than only research prototypes.
• Deep experience modeling volatility, correlation, option skews, and option pricing, and implementing models at scale for traditional-finance 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, with the judgment to validate AI outputs against established risk models and identify plausible but incorrect results.
• Expert-level Python skills, including NumPy, pandas, and SciPy, and solid software engineering practices.
• Advanced degree in a quantitative field such as mathematics, statistics, physics, financial engineering, or computer science, or equivalent experience.
• Strong mathematical foundation in stochastic calculus and linear algebra.

Nice To Haves

• C# and/or C++ for performance-critical or production systems.
• Familiarity with crypto market structure, perpetuals, or prediction markets.
• Experience with CCP risk frameworks, including CPMI-IOSCO PFMI, default management, and margin methodology.
• Experience building real-time risk systems.

Responsibilities

• Design, implement, and maintain enterprise-scale risk models covering market risk, margin, and counterparty exposure for a clearing organization.
• Build volatility and correlation models for derivatives, including calibration, backtesting, and ongoing model validation.
• Develop and run historical, hypothetical, and reverse stress-testing frameworks.
• Design and tune auto-liquidation logic, including trigger thresholds, liquidation waterfalls, and safeguards against cascading liquidations.
• Use AI tools to accelerate model development, coding, and research, and validate their outputs against established risk models before deployment.
• Monitor production model performance, investigate breaks, and iterate quickly.
• Partner with engineering, trading, and product teams to embed risk controls into platform architecture.
• Document model assumptions, limitations, and validation results to an audit-ready standard.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level