Thomas Grandguillot

Thomas Grandguillot is a passionate individual with a keen interest in artificial intelligence, quantum computing, and financial markets. He is dedicated to staying updated on the latest advancements in these fields to develop innovative models. With a background in financial engineering and mechanical engineering, Thomas has excelled in roles such as Quantitative Analyst at Deutsche Bank where he has sharpened his analytical skills. His strong technical expertise includes proficiency in Python, R, Matlab, and SQL, along with advanced knowledge in statistics, probability, artificial intelligence, optimization, stochastic processes, and partial differential equations. Thomas also possesses a detailed understanding of market risk, pricing, and economic models.