• WEX

Gabriel Owens

WEX

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Gabriel Owens

Data Scientist (global And Quantitative Risk)

Gabriel Owens is a data scientist at WEX, specializing in global and quantitative risk, with a track record of developing machine learning models that save over $2 million monthly by monitoring fraud and credit risk. Previous experience includes roles as a fraud data analyst at WEX, where advanced analytical techniques were applied to assess risk, and as a data architect intern, focusing on customer delinquency prediction. Gabriel has consulted for Nourish STL, leading operational improvements, and worked at Capital Innovators, where corporate outreach and due diligence for startup funding were conducted. Earlier experiences include project management at Boeing and research at UNSW, along with various teaching and coaching roles in tennis. Gabriel holds a Master's in Business Analytics from USC Marshall School of Business and a Bachelor of Arts in Economics from Washington University in St. Louis, along with additional business analytics certifications and education.

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