Must have a bachelors degree in Economics, Engineering, Statistics, Mathematics, Computer Science, Physics or a related field and 5 years of progressive, postbaccalaureate work experience in solving business and analytical problems using quantitative approaches, data analysis techniques for high volume data computation and processing, and SQL. Alternatively, must have a Masters degree in Economics, Engineering, Statistics, Mathematics, Computer Science, Physics or a related field and 4 years of work experience in solving business and analytical problems using quantitative approaches, data analysis techniques for high volume data computation and processing, and SQL.br br Must have 3 years of experience in the financial services industry.br br Must have 4 years of experience developing statistical models.br br Must have 3 years of experience in statistical modeling, data visualization, predictive analysis using R, Python, Tableau, Qlikview, SAS, andor Spotfire.br br Must have 3 years of experience analyzing and reviewing financial services business data issues pertaining to operations, risk, finance, compliance, or process and controls.br br Must have 3 years of experience designing and implementing analytical or data management technology solutions to meet financial services client issues pertaining to operations, risk, finance, compliance, or process and controls.br br Must have 1 year experience leading a team to address financial services business data issues pertaining to operations, risk, finance, compliance, or process and controls.br br Requires domestic and regional travel up to 80 to serve client needs.br br Employer will accept any suitable combination of education, training or experience.
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