Webinarium on-demand

EMEA Banking Fraud Success Stories

PKO Bank Polski - Successful enterprise anti-fraud journey with Advanced Analytics

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About the Experts

Krzysztof Stępień

Fraud Analytics Expert - PKO Bank Polski

Krzysztof Stępień, PhD, is a Fraud Analytics Expert at PKO Bank Polski. As architect, lead analyst and lead programmer, he is responsible for development of anti-fraud strategies leveraging machine learning and advanced analytics automation. Krzysztof has over 16 years of experience as advanced analytics expert, with broad expertise in building comprehensive data mining solutions in the areas of Fraud, Anti-Money Laundry and Customer Relationship Management in banking, telecommunications and FMCG industries. Before joining PKO BP, for 5 years he had been responsible for statistical analysis automation as a Senior Statistician in Citi Global AML Hub. He has also 7 years of experience of delivering numerous Customer Relationship Management projects for major Polish telecommunications providers in the roles of modeler, architect, lead programmer and lead analyst. Krzysztof graduated in Quantitative Methods and Information Systems from the Warsaw School of Economics. In 2013 he defended his PhD thesis on predictive modelling at the Warsaw School of Economics.

Marcin Nadolny

Head of EMEA Banking Fraud Practice - SAS

Marcin Nadolny leads the EMEA Banking Fraud Practice. He is a thought leader on fraud, accountable for defining the go-to-market strategy, business development, support of implementations with expert knowledge and fraud analytics. Marcin and his team are subject matter experts that help banks and financial institutions to combat fraud and financial crimes, and improve detection across all areas including payments, applications, insider.

Marcin is an experienced anti-fraud expert, but also data scientist with huge expertise in machine learning applications in business. He has strong background in banking and financial services and over 16 years of professional experience he gained with SAS but also at PwC, Toyota Bank and at DaimlerChrysler R&D. Along his career Marcin was leading fraud teams on the country and regional levels. He participated in numerous projects addressing setting fraud detection strategies with support of machine learning and networks analytics, and particularly he was leading the team of analysts implementing SAS Enterprise Fraud Management platform at largest banks in Central Europe.

Marcin is graduated in mathematics from the University of Warsaw, and also holds a Master of Science degree in Applied Computer Science from Albert-Ludwigs-University of Freiburg in Germany.