Senior Quant Risk Analyst, Derivatives & Clearing

Polymarket; New York (NY); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Health, Vision, Dental coverage

401k match

MacBook Pro + setup

Job summary

Polymarket is seeking a 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.

This hands-on role requires building models in production code and using AI tools for development and research, with rigorous validation against established risk frameworks.

Qualifications

• Advanced degree or equivalent experience in a quantitative field.
• Proven track record of building production risk models at enterprise scale.
• Experience with volatility, correlation, and derivatives risk in a clearing context.

Responsibilities

• Design, implement, and maintain enterprise-scale risk models for market risk, margin, and counterparty exposure.
• Develop volatility and correlation models for derivatives and calibrate/backtest them.
• Run stress-testing frameworks including historical scenarios and hypothetical shocks.
• Design and tune auto-liquidation logic with safeguards against cascading liquidations.
• Validate AI-generated models and code against established risk frameworks before deployment.
• Monitor model performance in production and iterate quickly.

Skills

Python

AI tooling

Risk modeling

Model validation

Statistics

C++

Education

Quantitative degree

Tools

NumPy

Pandas

SciPy

C++

Job description

Polymarket is seeking a 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.

This hands-on role requires building models in production code and using AI tools for development and research, with rigorous validation against established risk frameworks.