Senior Quantitative Risk Analyst – Derivatives & Clearing

Unchain Data; New York, Northern (NY, KY); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Full Health, Vision, & Dental coverage

401k match

Hardware setup: MacBook Pro, big desk

Job summary

Polymarket is seeking a Quantitative Risk Analyst to design and implement enterprise-scale risk models central to our clearing operation. You will own models for market risk, volatility, and correlation of derivatives, stress testing, and automated liquidation.

The role involves building models in production code, validating AI-generated outputs against established risk models, and collaborating with engineering and trading teams.

Qualifications

• 5-7 years of quantitative risk experience at a clearinghouse, exchange, or similar.
• Proven production-grade risk models experience, not just prototypes.
• Deep experience with volatility, correlation, and option pricing at scale.
• Hands-on market risk modeling, stress testing, and auto-liquidation mechanics.
• Strong ability to validate AI-generated models against established risk models.

Responsibilities

• Design, implement, and maintain enterprise-scale risk models for market risk, margin, and exposure.
• Build volatility and correlation models for derivatives and related instruments.
• Develop stress-testing frameworks including historical and hypothetical scenarios.
• Design auto-liquidation logic and safeguards against cascading liquidations.
• Leverage AI tools to accelerate model development and validate outputs rigorously.
• Monitor production model performance and iterate quickly to fixes.
• Partner with engineering, trading, and product teams to embed risk controls.
• Document model assumptions and validation results for audits.

Skills

Python programming

AI-assisted development

Mathematical analytics

Risk modeling intuition

Education

Advanced degree in quantitative field

Tools

NumPy

pandas

SciPy

C++

Job description

Polymarket is seeking a Quantitative Risk Analyst to design and implement enterprise-scale risk models central to our clearing operation. You will own models for market risk, volatility, and correlation of derivatives, stress testing, and automated liquidation.

The role involves building models in production code, validating AI-generated outputs against established risk models, and collaborating with engineering and trading teams.