Tomas Olarte is a Senior Data and Applied Scientist with 11 years of experience applying mathematical rigor and machine learning to financial services and enterprise analytics. He has led and scaled analytics teams—most recently as Head of Analytics and now at Microsoft—building data-driven cultures, productionized models, and automation that reduce human error and unlock new markets. Tomas combines academic experience teaching ML and statistics with hands-on engineering leadership (CTO, tech lead) and a Distinction MSc in AI, which gives him both theoretical depth and delivery focus. He excels at bridging quantitative finance, optimization and software engineering to turn complex models into reliable products, and has a track record of growing teams and consultancy revenues. Less obvious: he pairs early career quantitative trading and asset-allocation work with a passion for automation, making him as comfortable with probability theory as with production pipelines.
11 years of coding experience
7 years of employment as a software developer
MSc in Artificial Intelligence, Computer Science, Distinction, MSc in Artificial Intelligence, Computer Science, Distinction at University of Southampton
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at EAFIT University
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