JPMorgan Chase CCB - Marketing Core Modeler - Senior Associate in Wilmington, Delaware

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 at

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 Consumer &Community Banking Business Modeling Center of Excellence is a newly formed unit in support of modeling needs for marketing, finance and operations. Our modelers work directly with each line of business, Consumer Banking, Business Banking, Auto Finance, Credit Card and Commerce Services, Chase Wealth Management and Home Lending, to build state-of-the-art models and tools to support business growth.

We are an intellectually diverse team of economists, statisticians, and other analytics professionals, focused on statistical modeling within CCB at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge analytical 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.


  • Design, develop, implement, and validate statisticalmodels and segmentation.

  • Perform data extraction, sampling, advanced data mining,and statistical analysis/modeling by using classic statistical methods,such as, linear regression, logistic regression, time seriesanalysis/forecasting, and multivariate analysis (i.e., clusteringanalysis, principal component analysis, discriminant analysis, etc.).

  • Analyze and interpret large financial data, and conductcomplex statistical modeling and analyses by using Machine Learningalgorithms in Big Data environments.

  • Provide and present statistical analysis and modelingresults, insights, and recommendations to senior management and partnersby using Microsoft Office PowerPoint, Word, and Excel.

  • Partner with internal teams to implementmodels/segmentation tools, and to support business execution and/oranalytics on revenue growth and loss control related tasks.

  • PhD in quantitative fields with advanced analytics experience in large data environments, or a Master’s degree in quantitative fields with 2+ years of advanced analytical experience (i.e., Statistics, Operations Research, Mathematics, Physics, Computer Science, Economics, or equivalent quantitative fields).

  • 3+ years of related experience preferred

  • In-depth knowledge of data mining and statistical modeling techniques (regression, decision tree, time series, etc.).

  • Knowledge of Machine Learning, Big data, optimization theory, and P&L analysis are preferred.

  • Strong analytical and problem solving skills with the ability to interpret complex and large amounts of data with business insights to support business growth.

  • Strong programming skills in both statistical packages (SAS, R or Python) and SQL; extensive experience with UNIX and relational databases, as well as Big Data related software/languages.

  • Proficient in Microsoft Office PowerPoint, Word, and Excel (including pivot tables).

  • Excellent written and oral communication skills to clearly present analytical findings and business recommendations. Highly motivated, productive, and teamwork oriented.

  • Good project management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables).

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.