Vincent Racine

Vincent is an aspiring researcher at the intersection of operations research, machine learning, and finance. He has completed a master’s in computational mathematics, where he proposed a novel neural network-based algorithm to learn capacities (generalization of probabilities) from data in large universes.

Recognizing the strength of Bristol Gate’s data science teams, Vincent felt that Bristol Gate was the ideal firm to translate his academic research experience into the real world and learn from researchers with a proven track record of using data science to identify top dividend growth companies.