Quant Risk Analyst: Real-Time Crypto Derivatives

The Bitcoin Street Journal; New York, Northern (NY, KY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Equity

Unlimited PTO

MacBook Pro

Big display

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 will own models for market risk, volatility, and correlation, with stress testing and auto-liquidation frameworks to keep the platform solvent and users protected in fast-moving markets.

This role is hands-on: you will build models in production code, use AI tools for development, and rigorously validate outputs against established risk frameworks

Qualifications

• 5-7 years of quantitative risk experience at a clearinghouse/exchange or similar.
• Proven ability to design and implement enterprise-scale risk models.
• Deep experience with volatility, correlation, and option pricing at scale.
• Hands-on coding with production-grade risk systems.

Responsibilities

• Design, implement, and maintain enterprise-scale risk models for market risk and exposure.
• Develop and run stress-testing frameworks: historical scenarios and hypothetical shocks.
• Build automated liquidation logic and risk controls within platform architecture.
• Use AI tools to accelerate model development and validate outputs against established risk models.
• Monitor production model performance and iterate quickly.
• Collaborate with engineering, trading, and product teams to embed risk controls.
• Document model assumptions and validation results for audit readiness.

Skills

Python

AI coding

Stochastic calculus

Linear algebra

Option pricing

Education

Advanced degree in quantitative field

Tools

NumPy

Pandas

SciPy

Git

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 will own models for market risk, volatility, and correlation, with stress testing and auto-liquidation frameworks to keep the platform solvent and users protected in fast-moving markets.

This role is hands-on: you will build models in production code, use AI tools for development, and rigorously validate outputs against established risk frameworks