Summary
Lion Behrens is a data scientist and manager specializing in anti-financial-crime solutions for banks, bringing nine years of applied experience in statistical modeling, machine learning, and forensic analytics. He blends rigorous academic training—doctoral research on statistical anomaly detection and years teaching Bayesian and quantitative methods—with hands-on delivery of transaction monitoring rollouts and EU-focused compliance projects. At Sopra Steria and spotixx he led cross-functional teams and taught "AI in Anti Financial Crime," and now directs data & analytics for EY’s Forensic & Integrity Services. Comfortable translating complex statistical ideas into auditable, production-ready systems, he also brings a practical appreciation for AI governance under the EU AI Act. Based in Germany, he combines academic curiosity (R, Bayesian methods) with pragmatic consulting experience across banking and regulatory contexts.
9 years of coding experience
Master of Science (M.Sc.) Methodology and Statistics, Master of Science (M.Sc.) Methodology and Statistics at Utrecht University
Bachelor of Arts (B.A.) Major: Political Science Minor: Applied Statistics, Bachelor of Arts (B.A.) Major: Political Science Minor: Applied Statistics at University of Bremen
Dr. rer. soc Graduate School of Economic and Social Sciences, Dr. rer. soc Graduate School of Economic and Social Sciences at University of Mannheim
German, English, Spanish