Build statistical, descriptive and predictive models using statistical techniques, such as logistic regression, clustering, principal components analysis, decision trees, correlation analysis, etc., looking to understand patterns, predict behavior, customer profiles, forecasting, among other challenges, with the purpose of minimizing the risk while increasing the bank's revenue. The person in this role will be responsible for developing, leveraging and implementing out-of-box models of advanced statistical, descriptive, and predictive models (machine learning, supervised, unsupervised, classification, regression, and time series) for business needs.