Quantitative Modeling / Data Science - Vice President

JPMorgan Chase & Co in New York, NY

  • Industry: Financial Services - Banking/Investment/Finance - Others
  • Type: Full Time
position filled
Building statistical models for key business drivers, including forecasting deposits, loans, and revenue, and optimizing strategies Performing advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance Communicating results across audiences throughout JPMorgan Chase Actively contributing to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group Examples of projects that you could be working on include: Forecasting the performance of branches or bankers to improve the branch network Predicting credit card redemption patterns Forecasting call volume to optimize staffing levels Qualifications: Candidates should have a PhD in a quantitative field of study, such as statistics or economics Candidates should have at least three years of experience, preferably in financial services or a closely related industry. Excellent written and oral communication skills, be deeply curious and highly motivated, and be able to translate ambiguous business problems into a conceptual mathematical framework. A sound foundation in one or more of the following analytical disciplines: Statistical and econometric modeling Machine learning methods Data manipulation and management Ability to write code in at least one of the following: R, Python, or equivalent

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