CCB PhD Strategic Internship Program

Employment Type

: Full-Time


: Miscellaneous

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. Chase Consumer & Community Banking (CCB) serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services through our 137,000 employees. The CCB Business Modeling Center of Excellence is a newly-formed team of data scientists focused on quantitative modeling for marketing, finance and operations. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions. Responsibilities:We have exciting summer internship opportunities for PhD students in quantitative fields of study. Your duties will include:Building statistical models for key business drivers, including forecasting deposits and revenue, and optimizing marketing strategiesPerforming 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 groupExamples of projects that you could be working on include:Forecasting the performance of branches or bankers to optimize the branch network and staffingCreating price elasticity models to optimize deposit and loan pricingBuilding household-level models to aid marketing budget allocations and customer acquisition Building budget and regulatory models to predict deposit account closure rates Qualifications:Internship candidates should have passed qualifying exams on the way to a doctoral degree in a quantitative field of study, with a sound foundation in one or more of the following analytical disciplines:Statistical and econometric modelingMachine learning methodsData manipulation and managementAbility to write code in at least one of the following: R, Python, or equivalentIn addition, you must have 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.

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