Quantitative Risk Analyst — Derivatives & Clearing
Polymarket is a decentralized information markets platform that lets users bet on the outcome of real-world events.
Maintainer signals as of 8/23/2026
Funding history
About Polymarket
Polymarket is an information markets platform where users can trade on the outcomes of various events, leveraging the power of free markets to forecast the future. It provides a mechanism for users to bet on real-world events and earn money based on the outcomes.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement production risk models covering market risk, margin, counterparty exposure, volatility, correlation, stress testing, and automated liquidation. You will validate models, monitor production performance, collaborate on risk controls, and document assumptions and results to audit-ready standards.
Requirements
- 5–7 years of quantitative risk experience in clearing, exchange, prime brokerage, trading, or similar environments
- Experience implementing enterprise-scale production risk models
- Experience with volatility, correlation, option skew, and option pricing
- Experience with market risk modeling, stress testing, and auto-liquidation in a clearing context
- Strong fluency with AI-assisted development and coding
- Expert-level Python with NumPy, pandas, and SciPy
- Advanced degree in a quantitative field or equivalent experience
- Strong foundation in stochastic calculus and linear algebra
- C# or C++ experience is a plus
- Familiarity with crypto market structure, perpetuals, or prediction markets is a plus
- Experience with CCP risk frameworks is a plus
- Experience building real-time risk systems is a plus
Responsibilities
- Design and maintain risk models for market risk, margin, and counterparty exposure
- Build and validate volatility and correlation models for derivatives
- Develop historical, hypothetical, and reverse stress-testing frameworks
- Design and tune auto-liquidation logic and safeguards
- Use AI tools for model development, coding, and research
- Validate AI-generated models and code against established frameworks
- Monitor model performance and investigate breaks
- Embed risk controls into platform architecture
- Document model assumptions, limitations, and validation results
Benefits
- Equity
- Unlimited paid time off
- Full health, vision, and dental coverage
- 401k match
- New MacBook Pro, display, and accessories