Назад
5 часов назад

Quantitative Risk Analyst (Crypto)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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