JPMorgan Consumer Bank Distribution Strategy - Data Scientist Associate 

United States, Ohio, Columbus 

359915230

As a Data Scientist 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 understand and document analytic project objectives, deliverables, and timelines.
• Execute analytics roadmaps to support Chase’s branch segmentation initiatives, assess the impact of these decisions, and collect and curate datasets for ML model development
• Design and implement algorithms for processing and analyzing large geospatial datasets and develop machine learning models, spatial statistics, and other analytical techniques tailored to geospatial data.
• Document developed analytics adhering Chase’s internal and external control’s obligations and manage change that benefits internal stakeholders and Chase’s retail customers
• Demonstrate a high level of self-motivation with a strong solutions orientation and a focus on client needs.
• Exhibit interpersonal skills to cultivate and build strong relationships with peers and senior executives.

Required qualifications, capabilities, and skills:

• Bachelor’s degree in relevant quantitative field (e.g. Computer Science, Data Science, Statistics, Economics, Applied Math, Operations Research, Physics, or GIS fields) with 2 years of related experience
• Master’s level degree in an analytical field (e.g. Data Science, Statistics, Economics, Applied Math, Operations Research, Physics, or GIS fields) with 2 years of related experience
• Excellent communication skills with the ability to convey information in an understandable, compelling, and persuasive manner to business partners and senior executives
• Experience in Mathematical and statistical modeling
• Experience in developing and implementing data science models (e.g. k-means clustering, random forest regression, XGBoost, etc.)

Preferred qualifications, capabilities, and skills:

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