Giovambattista Perciaccante

Giovambattista Perciaccante is a quantitative finance professional with extensive experience in trading, machine learning, and risk management. Currently serving as a Quant Data Scientist at Brevan Howard since November 2019, Giovambattista specializes in machine learning applications for investment strategies, including feature engineering, time series forecasting, and reinforcement learning. Previous roles include Associate Director of Market Risk Methodologies at UBS and various quantitative positions at Symphonia SGR and other entities. Giovambattista has a strong educational background with multiple advanced degrees in finance and statistics, including a current PhD candidacy and certifications in actuarial science. Proficient in various programming tools and libraries such as Python, Numpy, and TensorFlow, Giovambattista has contributed significantly to the fields of market risk modeling and financial analysis.