Quant Risk Analyst: Derivatives & Clearing

Wwshemi; New York (NY); On-site; USD 160,000 - 210,000; Full time

Job summary

Polymarket in New York City is hiring a mid-level quantitative risk analyst to design and implement enterprise-scale risk models for market risk, margin, and counterparty exposure in a fast-moving crypto-enabled clearing operation.

You'll build models in production code, leverage AI tools for development, and rigorously validate outputs against established risk frameworks before deployment. Collaboration with engineering, trading, and product teams is essential.

Qualifications

• 5-7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar.
• Proven expertise designing and implementing risk models at enterprise scale — production systems, not just research prototypes.
• Deep experience modeling volatility, correlation, option skews, option pricing for trad‑fi derivatives, perpetuals, and fully collateralized event contracts.
• Hands-on experience with market risk modeling, stress testing, and auto‑liquidation mechanics in a clearing context.
• Strong fluency with AI-assisted development and coding, with ability to pressure-test AI outputs against established risk models.

Responsibilities

• Design, implement, and maintain enterprise-scale risk models covering market risk, margin, and counterparty exposure for a clearing organization.
• Build volatility and correlation models for derivatives, including calibration, backtesting, and ongoing model validation.
• Develop and run stress-testing frameworks: historical scenarios, hypothetical shocks, and reverse stress tests.
• Design and tune auto-liquidation logic, thresholds, waterfalls, and safeguards against cascading liquidations.
• Use AI tools extensively to accelerate model development, coding, and research, with rigorous validation of AI outputs against risk models before deployment.
• Monitor model performance in production, investigate breaks, and iterate quickly.
• Partner with engineering, trading, and product teams to embed risk controls into platform architecture.
• Document model assumptions, limitations, and validation results to audit-ready standards.

Skills

Python

NumPy

pandas

SciPy

risk modeling

stress testing

auto-liquidation

risk frameworks

AI-assisted development

Education

Advanced degree in quantitative field

Tools

C++

Git

Job description

Polymarket in New York City is hiring a mid-level quantitative risk analyst to design and implement enterprise-scale risk models for market risk, margin, and counterparty exposure in a fast-moving crypto-enabled clearing operation.

You'll build models in production code, leverage AI tools for development, and rigorously validate outputs against established risk frameworks before deployment. Collaboration with engineering, trading, and product teams is essential.