Job 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.

Job 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.

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.