Lead Quant Risk Analyst: Derivatives & Clearing - Equity

Polymarket International; New York, Northern (NY, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Unlimited PTO

Health coverage

Vision coverage

Dental coverage

401k match

Hardware 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 will own models for market risk, volatility and correlation of derivatives, stress testing, and automated liquidation — the systems that keep the platform solvent and users protected in fast-moving markets.

This is a hands-on role: you’ll be building models in production code and using AI tools for development and research, while pressure-testing

Qualifications

• 5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar.
• Proven expertise designing and implementing enterprise-scale risk models.
• Deep experience modeling volatility, correlation, option skews, and option pricing for trad‑fi derivatives.
• Hands‑on risk modeling, stress testing, and auto‑liquidation mechanics in a clearing context.
• Fluency with AI-assisted development and ability to validate AI outputs against risk models.
• Expert‑level Python (NumPy, pandas, SciPy) and solid software engineering practices.
• Advanced degree in a quantitative field (math, statistics, physics, financial engineering, CS) or equivalent experience.
• Strong mathematical foundation in stochastic calculus and linear algebra.
• (Plus) C# and/or C++ for performance‑critical or production systems.

Responsibilities

• Design, implement, and maintain enterprise-scale risk models for market risk and derivatives.
• Build volatility and correlation models for derivatives and calibration/backtesting.
• Develop and run stress-testing frameworks with historical scenarios and shocks.
• Design auto-liquidation logic, including thresholds and safeguards.
• Leverage AI tools to accelerate model development and validate AI outputs.
• Monitor model performance in production and iterate quickly.
• Collaborate with engineering, trading, and product teams to embed risk controls.
• Document model assumptions and validation results for audits.

Skills

Python

NumPy/Pandas/SciPy

AI tools

C++

C#

Education

Advanced degree in a quantitative field

Tools

AI tools

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 of derivatives, stress testing, and automated liquidation — the systems that keep the platform solvent and users protected in fast-moving markets.

This is a hands-on role: you’ll be building models in production code and using AI tools for development and research, while pressure-testing