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JPMorgan Chase & Co . (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com
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: In this role, you will build models to answer questions and create forecasts for teams across the Finance organization at JPMorgan Chase. Your duties will include:
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
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
Internal Number: 6467623
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