Summary
Victor García is a Data Scientist with 10 years of experience applying machine learning to high-stakes domains like fraud detection and cybersecurity across fintech and banking. He has led end-to-end ML workflows—from problem framing and experimentation to deployment and operationalization—at companies including Adyen, ABN AMRO, and currently Kharon. His background blends rigorous academic training (MSc Data Science, cum laude) with hands-on research in reinforcement learning and practical ontology/mining work from earlier roles. Victor is adept at translating business risk signals into production-ready models that support compliance and fraud prevention, often working at the intersection of data, security, and operations. Colleagues describe him as someone who pairs strong technical depth with an eye for real-world impact, not shying away from the messy engineering required to keep models reliable in production. Based in Madrid, he brings international experience from Dutch and Spanish organizations and a proven track record in regulated environments.
10 years of coding experience
8 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
MSc Data Science, Cum laude, MSc Data Science, Cum laude at Radboud Universiteit Nijmegen
Spanish, English