Crypto.com - Quantitative Analyst (Options)
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Requirements
• Master’s or PhD in a quantitative field (Mathematics, Physics, Financial Engineering, Computer Science) from a top-tier university. • Proven quant experience, preferably in an options market-making or derivatives prop trading firm. • Track record working with options theory and volatility trading. • Python is a must; Expert in data analysis, statistical modeling, and prototyping. • C++ is a strong plus; Experience with low-latency production code or close collaboration with C++ developers. • Familiarity with Git and collaborative coding. • Deep understanding of option pricing models (Black-Scholes, local vol, stochastic vol), Greeks, volatility surfaces, and common trading strategies. • Self-starter who drives projects independently. Strong communication skills to bridge traders and developers. Acute attention to detail and rigorous approach to data validation.
Responsibilities
• Model Implementation & Volatility Fitting: Improve volatility surface construction. Research and implement stochastic volatility models for accurate pricing and risk. • Strategy Backtesting & Development: Partner with traders to prototype and backtest new strategies. Analyze historical data to identify patterns and inefficiencies. • Project Management: Own quantitative projects end-to-end—from Python research and prototyping to productionization with developers (C++). • Tool Development: Build trade analysis tools, scenario simulators, and real-time risk dashboards. • Collaboration: Bridge the gap between traders and developers. Translate trader needs into technical specs and ensure timely delivery. • Post-Trade Analysis: Perform deep-dive P&L and Greek exposure analysis. Explain performance and suggest improvements.
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