Requires a Bachelors degree in Statistics, Mathematics, Economics, Analytics or a related field plus 3 years of experience solving credit and fraud risk management strategies for a financial institution. Must include 2 years of professional experience with each of the following 1 data modeling and data analytics tools, including SQL, SAS, VBA, Excel, R, RShiny, Macros, Hadoop and Python; 2 machine learning and statistical and data mining techniques in regression or classification; 3 developing communication materials for clients using PowerPoint and Tableau; 4 leading client engagement as part of a professional services company; 5 managing team members working on multiple projects, including endtoend project delivery; and 6 endtoend development of analytical solutions, including, data extraction, data understanding, variable reduction, data processing, data analysis, strategy development, strategy stabilization and validation, summarization, visualization, and presentation.
Categories: eb3
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