Consumer Bank Distribution Strategy - Data Scientist Associate

Join a team that makes a significant impact on a large scale at one of America’s leading financial services firms!

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

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans