Michiel van Lunsen is an experienced data scientist specializing in model validation and risk management. With a deep understanding of statistical models and machine learning techniques, Michiel has validated models across a wide range of domains, including fraud detection, early warning signals of financial and economic crime, AML/KYC, customer interactions, NLP, and customer dialogue analytics. Currently, Michiel is managing a team responsible for Credit Risk Model validations, including IRB, IFRS9 and Credit Decision Models.