Maxime Leroux
Montreal
Education
M.Sc., applied finance, and B.Sc., economics, University of Quebec at Montreal
Summary of Experience
Mr. Leroux specializes in the application of machine learning (ML) and big data technologies to complex problems related to finance, marketing analytics, fraud detection, client engagement, process automation, and credit and market risk. His experience includes developing data-focused strategies and campaign targeting models; analyzing investment and finance portfolios; building predictive, next-best-offer, and behavioral analytics models; leading information technology projects from proof-of-concept stage to enterprise level; and designing, developing, and implementing automated credit scoring and fraud detection systems. Mr. Leroux has also overseen the implementation of ML solutions and big data technologies in numerous domains for both on-premises infrastructure and major cloud platforms. Prior to joining Analysis Group, his roles included chief analytics officer at BrainFinance, consultant data scientist at Keyrus, and data scientist at the National Bank of Canada. Mr. Leroux is a member of the Quebec Chartered Professional Accountants Order.
Selected Cases
Selected Publishing
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Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada
American Journal of Clinical Dermatology, 2024
2024Muntyanu A, Milan R, Kaouache M, Ringuet J, Gulliver W, Pivneva I, Royer J, Leroux M, Chen K, Yu Q, Litvinov IV, Griffiths CEM, Ashcroft DM, Rahme E, Netchiporouk E