Innovative and results-driven volatility trader with extensive experience in equity derivatives, FX, and fixed income markets. Proficient in building and executing semi-systematic strategies that balance quantitative rigor with qualitative insights, delivering consistent alpha and exceptional risk-adjusted returns. Demonstrates autonomy in strategy development, a proven track record of profitability across diverse market conditions, and a commitment to leadership and talent development. Passionate about driving performance through innovation and disciplined risk management.
Python: Proficient in data analysis and modeling using pandas, numpy, statsmodels, and scikit-learn. Experienced in building and testing statistical models, conducting time-series analysis, and leveraging machine learning techniques such as random forests for predictive insights.
Volatility Modeling: Skilled in constructing and calibrating volatility surfaces, modeling term structures, and developing proprietary frameworks to identify and exploit dislocations, incorporating implied vs. realized volatility dynamics into strategy design.
Bloomberg: Experienced in utilizing Bloomberg Terminal for market data analysis, volatility surface evaluation, bond pricing, and ETF performance tracking, with expertise in designing custom queries for actionable insights.
Excel: Proficient in Excel functions for financial modeling and Data Analysis
Triathlons, Skiing, Real-time Stratedgy games