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Описание вакансии
Текст:
TL;DR
Quantitative Risk Analyst (Crypto) (derivatives and clearing): Designing and implementing enterprise-scale risk models for market risk, volatility, correlation, stress testing, and automated liquidation with an accent on production-grade clearing systems and model validation. Focus on building real-time risk controls, pressure-testing AI-generated models and code, and protecting platform solvency in fast-moving markets.
Location: New York, United States; on-site
Company
Polymarket operates a peer-to-peer prediction market platform for trading outcomes across politics, economics, sports, culture, and current affairs.
What you will do
- Design, implement, and maintain enterprise-scale market risk, margin, and counterparty exposure models for the clearing organization.
- Build volatility and correlation models for derivatives, including calibration, backtesting, and ongoing validation.
- Develop historical, hypothetical, and reverse stress-testing frameworks.
- Design and tune automated liquidation logic, including thresholds, liquidation waterfalls, and safeguards against cascading liquidations.
- Use AI tools for model development, coding, and research while rigorously validating outputs against established risk frameworks.
- Monitor production model performance, investigate breaks, document assumptions and limitations, and partner with engineering, trading, and product teams.
Requirements
- 5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar organization.
- Experience designing and implementing enterprise-scale production risk systems rather than research prototypes.
- Deep expertise in volatility, correlation, option skews, and option pricing for traditional-finance derivatives, perpetuals, and fully collateralized event contracts.
- Hands-on experience with market risk modeling, stress testing, and auto-liquidation mechanics in a clearing context.
- Expert-level Python, including NumPy, pandas, and SciPy, with strong software engineering practices.
- Advanced degree in a quantitative field or equivalent experience, with a strong foundation in stochastic calculus and linear algebra.
Nice to have
- C# or C++ experience for performance-critical or production systems.
- Familiarity with crypto market structure, perpetuals, or prediction markets.
- Experience with CCP risk frameworks, default management, margin methodology, or real-time risk systems.
Culture & Benefits
- Competitive salary and equity.
- Unlimited paid time off.
- Full health, vision, and dental coverage.
- 401(k) match.
- New MacBook Pro, large display, and accessories.
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