Geoffroy de Gournay

Geoffroy de Gournay has extensive work experience in the financial industry. Geoffroy is currently the Head of Data at Realytics, a position they have held since 2022. Prior to that, they worked at Exane from 2010 to 2020, where they served as a Partner and Head of Convertible Bonds Trading. In this role, they were responsible for managing pricing and technological developments on trading systems, as well as market making on European Convertible Bonds. Before joining Exane, Geoffroy worked at Lehman Brothers from 2001 to 2009 as an Executive Director in Equity Derivatives Trading.

Geoffroy de Gournay has a diverse education history with a focus on mathematics, statistics, economics, and artificial intelligence. In 2021, they obtained an Professional Certificate in Artificial Intelligence from Stanford University, specifically from the Stanford School of Engineering. During this time, Geoffroy also earned multiple certifications, including "Artificial Intelligence Professional Certificate" and "XCS229i - Machine Learning" from Stanford University School of Engineering, "Mathematics for Machine Learning: Linear Algebra" from Coursera, and "Introduction to Data Science in Python" from Coursera.

In 2022, they received a Nanodegree in Machine Learning DevOps Engineer from Udacity. Geoffroy's previous education includes a Master's degree in Mathematics, Statistics, and Economics from ENSAE Paris in 2001, and a Master of Science in Finance and Economics from The London School of Economics and Political Science (LSE) in 2001. Geoffroy also earned a Master of Science in Applied Mathematics and Computing from Université Paris Dauphine - PSL in 1999.

Geoffroy has continuously updated their skills by obtaining various certifications, such as "XCS234 - Reinforcement Learning," "XCS224W - Machine Learning with Graphs," "XCS221 - Artificial Intelligence: Principles and Techniques," "XCS224N - Natural Language Processing with Deep Learning," and "XCS224U - Natural Language Understanding" from Stanford University School of Engineering. Geoffroy also completed certifications in "Data Analysis: Statistical Modeling and Computation in Applications," "Fundamentals of Statistics," and "Probability - The Science of Uncertainty and Data" from Massachusetts Institute of Technology. Additionally, they obtained certifications in "Neural Networks and Deep Learning" from DeepLearning.AI, and "Data Collection and Processing with Python," "Python Functions, Files, and Dictionaries," "Python Basics," and "Introduction to Data Science in Python" from Coursera.

It is clear that Geoffroy de Gournay has a strong educational background in mathematics, statistics, economics, and artificial intelligence, and they continue to enhance their knowledge and skills in these fields through various certifications.