JPMorgan Consumer Bank Distribution Strategy - Quant Analytics Associate 

United States, Ohio, Columbus 

962740979

As a Quant Analytics Associate, within our Consumer Bank Distribution Strategy team, you will collaborate across Consumer and Community Banking and Data and Analytics to gather business requirements from stakeholders and work on analytics related to JP Morgan’s Chase’s branch and ATM distribution network.

Job Responsibilities:

• Collaborate with One-Chase, Real Estate, Corporate Strategy, Distribution Strategy, Data and Analytics, and various lines of business to comprehend and document analytic project objectives, deliverables, and timelines.
• Implement analytic roadmaps to support branch segmentation initiatives, assess the impact of these decisions, and develop and analysis data visualizations for actionable insights to stakeholders
• Create Tableau dashboards to enhance resilience and meet user functionality need and document developed analytics adhering Chase’s internal and external control’s obligations
• Focus on change that benefits internal stakeholders and Chase’s retail customers, have a strong solutions orientation and strong client focus, and cultivate and build strong relationships with peers and senior executives

Required qualifications, capabilities, and skills:

• Bachelor’s degree in relevant quantitative field (e.g. Business Administration, Statistics, Economics, Applied Math, Operations Research, or GIS fields) with 2 years of related experience.
• Master’s level degree in an analytical field (e.g. Business Administration, Statistics, Economics, Applied Math, Operations Research, or GIS fields) with 2 years of related experience
• Exceptional communicator, with the ability to convey information in an understandable, compelling, and persuasive manner to business partners and senior executives
• Experience in developing and implementing analytical solutions
• Proficiency in SQL, Tableau or any BI tool

Preferred qualifications, capabilities, and skills:

• Domain specific expertise including fraud/risk analytics, bank operations, and distribution strategy preferred, but not required
• Background in Financial services is preferred, but not required
• Understanding of spatial data science and GIS applications (e.g., Esri, QGIS, PostGIS) is preferred, but not required