Stan Leisink is an experienced data scientist currently leading advanced analytics projects at ING since May 2018, where expertise includes developing scalable machine learning products. Previously, Stan worked as a quant focusing on algorithmic xVA optimization in financial markets and contributed to various projects in data science and software engineering at Capgemini Nederland. Additional experience includes work in pricing and underwriting models for non-life insurance at Nationale-Nederlanden and a research internship at the Universiteit van Amsterdam, concentrating on multivariate statistics and machine learning. Stan holds a Master of Science in Computational Science and a Bachelor of Science in Economics from the University of Amsterdam and has a background in tutoring mathematics and statistics.
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