--- title: 'Quant Risk Analyst - Derivatives & Clearing at Polymarket' canonical: 'https://feeny.ai/job/quant-risk-analyst-derivatives-clearing-polymarket-new-york-2zwbqc7rd4q7' type: 'job' last_seen: '2026-11-08' --- # Quant Risk Analyst - Derivatives & Clearing at Polymarket - **Company:** Polymarket - **Location:** New York, NY - **Compensation:** $400k–$450k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-11-02 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.ashbyhq.com/polymarket/0f752c3b-418d-43e8-91d3-658d08b5b2c6 ## Job description ## About Polymarket Polymarket is the world's largest prediction market platform, where people trade on the outcomes of real-world events. As our markets, volumes, and derivative product suite grow, so does the sophistication of the risk infrastructure behind them. Our clearing and risk systems must operate with the rigor of a traditional clearinghouse while moving at the speed of a crypto-native trading platform. ## The Role We're hiring a mid-level 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 — 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, not just specifying them. We expect you to work fluently with AI tools for development and research — and to be the skeptic in the room, pressure-testing AI-generated models and code against well-established risk frameworks before anything ships. ## What You'll Do - 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 — trigger thresholds, liquidation waterfalls, and safeguards against cascading liquidations. - Use AI tools extensively to accelerate model development, coding, and research — and rigorously validate AI outputs against established risk models (VaR/ES, SPAN-style margining, GARCH-family volatility models, standard correlation frameworks) 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 an audit-ready standard. ## What We're Looking For - 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 and implementing at scale 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, paired with the judgment to pressure-test AI outputs against well-established risk models and catch what looks plausible but is wrong. - Expert-level Python (numerical stack: NumPy, pandas, SciPy; 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. ## Nice to Have - C# and/or C++ for performance-critical or production systems. - Familiarity with crypto market structure, perpetuals, or prediction markets. - Experience with CCP risk frameworks (CPMI-IOSCO PFMI, default management, margin methodology). - Experience building real-time risk systems. Pay Transparency Base salary range: $400,000 to $450,000, plus equity and benefits. This is a good-faith range for the level we're hiring at. Experience varies widely within a title here, so if your expectations fall outside it, reach out anyway. We're always happy to talk it through. Location & Work Setup This role is based in our New York City office, in person. You'll be working directly alongside the trading, engineering, and risk teams. ## About Polymarket ## Company Overview - **One-liner**: Polymarket is the world's largest prediction market platform, enabling users to trade on the outcomes of real-world events to surface a crowd‑driven signal of what people actually believe will happen. - **Entity Type**: Private (multiple funding rounds; latest $2B corporate round led by Intercontinental Exchange in November 2025) - **Headquarters**: New York, New York, United States - **Founded**: 2020 - **Founders**: Not publicly available ## Core Business - **Primary industry**: Prediction markets / Information markets / Financial technology - **Target customers**: B2C (30 million monthly visitors) and B2B (institutional investors, media, financial firms using data for research and hedging) - **Mission or purpose**: “Become the new front page of the internet” and “Define the coming era of finance” by rewarding conviction and bringing private insight to life in the public forum [careers.polymarket.com](https://careers.polymarket.com/) ## Products & Services - **Polymarket Platform (Prediction Markets)**: A decentralized platform where users trade on the probabilities of future events across politics, geopolitics, business, culture, and breaking news. Real‑time, crowd‑driven forecasts often more accurate than polling. [polymarket.com](https://polymarket.com/) - **Event‑Data Feeds**: Aggregated market probabilities distributed via partnerships with X, Substack, Yahoo Finance, and other media to provide “the true signal in world events.” [careers.polymarket.com](https://careers.polymarket.com/) - **Institutional & Media Solutions**: Partnerships with Dow Jones (official information market for WSJ, Barron’s, MarketWatch) and Intercontinental Exchange (owner of NYSE) to distribute event‑driven data to global markets and power next‑generation hedging strategies. [careers.polymarket.com](https://careers.polymarket.com/) ## Market Standing - **Valuation/Market Cap**: Not disclosed; total funding exceeds $2.87B (see below) - **Key Metric**: - **Annual Revenue**: $17.9M (as reported by LinkedIn) - **Total Funding**: $2.874B (including a $2B corporate round from Intercontinental Exchange in November 2025, a $45M Series B led by Founders Fund in May 2024, and earlier rounds) - **Notable Investors/Partners**: - Intercontinental Exchange (lead in 2025 corporate round) - Founders Fund (lead in Series B) - Dow Jones (official data partnership) - Key acquisitions: QCEX ($112M), Brahma, Dome - **Growth Signals**: - Monthly visitors: ~45 million (global rank #816, traffic up +373% year‑over‑year) - Headcount: 201 employees (+775% YoY) - Active job postings: 42 (monthly +44.8%, yearly +1300%) - Expanded to 20 countries; offices in New York, United States (HQ), plus remote presence ## Competitive Advantages - **First‑mover and market dominance** in prediction markets with the deepest liquidity and widest event coverage. - **Institutional credibility** through partnerships with Intercontinental Exchange (NYSE owner) and Dow Jones – an unmatched bridge between retail prediction markets and traditional finance. - **Real‑time, crowd‑sourced accuracy** that is often faster and more reliable than polls or experts, attracting both retail users and institutional clients. - **Network effects**: 30M monthly visitors provide the liquidity that makes the platform useful; data feeds are increasingly embedded in major media and financial platforms. ## Strategic Focus - **Institutional expansion**: Leveraging partnerships with ICE and Dow Jones to integrate Polymarket data into financial research, hedging, and media. - **Becoming the “front page of the internet”** – making market probabilities the default way to understand any breaking news event. - **Defining the next era of finance** by merging real‑time information markets with traditional financial instruments. - **Talent acquisition**: Actively hiring quantitative traders, data analysts, derivatives experts, AML compliance officers, and engineering roles to scale platform, security, and institutional support. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/polymarket) ## Why Work Here - **High‑growth environment**: 775% headcount growth in the past year; massive traffic scaling and institutional adoption create exciting challenges. - **Mission‑driven culture**: Build the “information market” that cuts through noise and empowers better decision‑making – a blend of finance, tech, and media. - **Engineering & data focus**: Tech stack includes blockchain, PostgreSQL, ClickHouse, Terraform, Python, and JavaScript; roles span application security, AI ops, data engineering, and Android development. - **Remote & office flexibility**: Headquarters in New York, NY; operates in 20 countries. Hybrid/remote policy not specified but international presence suggests flexibility. - **Compensation & culture**: Employer rating 4.3/5 (perfect scores for work‑life, compensation, culture, career). Senior Accounting Manager salary listed at $225k–$240k (New York). [indeed.com](https://www.indeed.com/cmp/Polymarket) - **Notable perks / engineering culture**: Emphasis on decentralized finance, open‑source principles, and “rewarding conviction” – a fast‑paced, intellectually stimulating environment. ## Sources 1. [careers.polymarket.com](https://careers.polymarket.com/) 2. [polymarket.com](https://polymarket.com/) 3. [linkedin.com (company profile)](https://www.linkedin.com/company/polymarket/jobs) 4. [indeed.com (salary data)](https://www.indeed.com/cmp/Polymarket) 5. 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