Data Analytics Associate supporting insights and analysis for Baker Tilly's service lines. Collaborating with teams to develop business critical analysis and reporting for data driven decisions.
About the role
- Quantitative Analyst supporting trading and risk management for options in a market-making firm. Driving projects in pricing models, risk management, and trading strategies.
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.
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.
Job title
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