Adrián Martínez is a seasoned professional in data science and risk management, currently serving as Data Science Vice President at Citibanamex since June 2017. In this role, Adrián leads the development of a predictive Case Risk Scoring tool for Anti Money Laundering, employing machine learning techniques to streamline investigative processes. Prior experience includes serving as Subdirector of Data Analytics at Banco Santander Mexico, where Adrián implemented Risk Data Aggregation strategies in compliance with Basel regulations, and as a Data Quality Risk Systems Manager at Banco Santander, focusing on data validation for risk parameters. Adrián's career also includes roles at MSCI Inc and International Personal Finance, supporting risk model management and data analysis. Adrián holds a master's degree in Risk Management from Instituto Tecnológico Autónomo de México and has completed a Python course for Data Science at the University of Chicago.
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