Xavier Fontes is a Risk Data Analyst with nine years of experience turning complex financial and operational datasets into actionable fraud-detection and account-protection solutions. With a strong foundation in time series analysis and ensemble forecasting from academic research, he has applied those skills in production at Revolut and Sardine to detect financial crime and harden fraud controls across large ETL pipelines. His background as a data engineer and researcher—building data lineage tooling, custom NLP models for chatbots, and heterogeneous-graph research for fraud—gives him a rare blend of modelling rigor and production-first engineering. Based in Leinster, Ireland, he pairs an Integrated Master’s from FEUP and an MEng from TUM with hands-on delivery in fast-moving fintech environments, and he’s known for improving interpretability and scalability in high-stakes analytics systems.
9 years of coding experience
6 years of employment as a software developer
Integrated Master's degree Informatics and Computing Engineering, Integrated Master's degree Informatics and Computing Engineering at Faculdade de Engenharia da Universidade do Porto
Master of Engineering - MEng Informatics, Master of Engineering - MEng Informatics at Technical University of Munich
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