Thomas Grandguillot

Thomas Grandguillot is a Quantitative Analyst - Risk Methodology Specialist at Deutsche Bank. He is passionate about artificial intelligence, quantum computing, and financial markets, and 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 his role at Deutsche Bank, where he has sharpened his analytical skills. His 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, which is likely valuable in his role as a Risk Methodology Specialist. His combination of technical skills and financial knowledge makes him well-suited for developing and implementing quantitative risk models at Deutsche Bank.