Quantitative Risk Analyst (Crypto)

Location: New York City office; in-person

Salary: $400K–$450K plus equity

Company

Polymarket operates a prediction market platform where users trade on real-world event outcomes, supported by crypto-native clearing and risk infrastructure.

What you will do

• Design, implement, and maintain enterprise-scale market risk, margin, and counterparty exposure models for the clearing organization.
• Build volatility and correlation models for derivatives, including calibration, backtesting, and model validation.
• Develop historical, hypothetical, and reverse stress-testing frameworks.
• Design and tune automated liquidation logic, including thresholds, liquidation waterfalls, and safeguards against cascading liquidations.
• Use AI tools for development, coding, and research while validating outputs against established risk frameworks including VaR/ES, SPAN-style margining, GARCH-family volatility models, and standard correlation frameworks.
• Monitor production model performance, investigate breaks, document assumptions and validation results to audit-ready standards, and partner with engineering, trading, and product teams.

Requirements

• 5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar organization.
• Experience designing and implementing enterprise-scale risk models in production systems, not only research prototypes.
• Deep experience with volatility, correlation, option skews, and option pricing 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, including the judgment to pressure-test AI outputs and identify plausible but incorrect results.
• Expert-level Python, including NumPy, pandas, and SciPy, with solid software engineering practices.
• Advanced degree in mathematics, statistics, physics, financial engineering, or computer science, or equivalent experience.
• Strong foundation in stochastic calculus and linear algebra.

Nice to have

• 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.

Culture & Benefits

• Work directly alongside trading, engineering, and risk teams in the New York City office.
• On-site, full-time employment with equity offered in addition to compensation.