Chase Auto is a leading provider of auto financing with a portfolio of more than $80 billion in assets and relationships with 75% of U.S. franchised automotive dealers. The business is part of the JPMorgan Chase franchise and serves auto dealers, consumers, and vehicle manufacturers. It offers a range of products and services to meet the financial needs of its clients from retail lending, captive financing, and floorplan products to cash management, private banking, and payment processing.

The Chase Auto Private Label Captive Finance business has more than 20 years in the captive finance business and is the largest bank-owned private label captive finance provider in the U.S. We serve as the captive finance partner to seven domestic and global auto manufacturers: Subaru, Jaguar Land Rover, Maserati, Aston Martin, McLaren and EV partners Rivian and Tesla.

The Vehicle Remarketing Analytics Associate, Sr is responsible for developing and maintaining key analysis to support the strategic vision of Chase Auto and our Private label partnerships. Areas of responsibility include but are not limited to inventory performance, pricing analytics and oversight, and optimization/automation efforts. 

Job responsibilities

Leverage complex data sets to gauge performance, identify variances, and provide recommendations to support our strategic vision. Understand the business impacts of results and future decisions to support business cases. Support the optimization and automation efforts around key processes and deliverables.  Work across different disciplines and data sources to create a holistic picture. Support partners within vehicle remarketing through data analysis and report creation. Communicate results effectively across various audiences (verbally, written, visually).

Required qualifications, capabilities and skills

5+ years of experience deriving insights and identifying trends from large amounts of data. Experience building and/or supporting the creation of financial/statistical models. Experience leading and/or supporting the automation of existing processes. Ability to think conceptually with a high level of attention to detail. Bachelor’s degree in a quantitative (or related) field.

Preferred qualifications, capabilities and skills

Master’s degree. High level proficiency with analytics and programming tools (SQL, Python, Tableau, Alteryx). Demonstrated ability to build relationships across multiple lines of business.