The employer is an automotive subprime lending company that provides financing to franchise auto dealerships.
Planning, road mapping, and promotion of key initiatives that focus on driving GLS' NPV and ultimate profitability.
Driving creative, innovative, and industry-leading product features that dealer-customers care about.
Challenging the limits of GLS' Credit Policy standards, while understanding risk limitations of our organization.
Promoting a deep understanding of the broad market / competitive environment and a specific understanding of similarities and differences between GLS and our competitors through analysis of recurring and ad hoc datasets.
Deep segmentation analysis of cashflow expectations to promote changes to GLS' risk-based pricing frameworks.
Establishment of testing and execution frameworks to understand and act on asset-level demand / elasticity.
Working with vendors, data providers, and operational leaders to drive continued automation of processes.
Three (3) plus years of experience in consumer finance with focus on credit policy / decisioning, price optimization, and / or product development; Auto Finance and / or sub-prime, consumer credit experience is preferred.
Highly-analytical mindset with experience in credit policy design, familiarity with statistical modeling techniques and model development (ability to understand as opposed to develop), deep understanding of asset-level cashflow modeling, and familiarity with common finance KPIs and measures of profitability (NPV, IRR, CNL, etc.).
Self-starter that is motivated by a face-paced, entrepreneurial environment.
Exceptional prioritization, planning, and organizational skills.
Ability to direct, audit, and manage work in an effective manner, but willingness and capability to perform autonomously.
Ability to effectively manage and train small teams of experienced and inexperienced analysts alike.
Understanding of the objectives and capabilities of other departments and a demonstrated capability of working cross-functionally to promote ideas and execute on initiatives with other partners within the organization.
Strong written, verbal, and interpersonal communication skills while presenting ideas in business-friendly and user-friendly language.
Proficiency in Microsoft Office (e.g. Excel, PowerPoint, etc.); familiarity with Python data analysis and modeling packages is preferred; familiarity with SQL preferred.