Point-of-sale lending platform for RVs, boats, and home improvement
Medallion Bank originates consumer loans at the point of purchase through a network of dealers and contractors across the US. The tech stack is Azure-native (.NET, C#, SQL Server) with heavy BI investment (Power BI, DAX) — reflecting a data-driven underwriting operation where lending metrics and delinquency analysis drive product decisions. Current hiring velocity is accelerating across finance and engineering, with active projects focused on POS enablement for contractors, enterprise data modeling, and lead generation optimization, signaling efforts to scale indirect lending channels while improving approval conversion.
Medallion Bank, founded in 2003 and headquartered in Salt Lake City, specializes in consumer installment loans for recreational vehicles, boats, and home improvements. The bank operates a dealer and contractor-centric origination model, working directly with thousands of partners to offer financing at point of sale. It also provides white-label loan origination services to fintech partners. The company serves the US market and operates with 51–200 employees across finance, engineering, marketing, and data functions.
Primary stack: Azure cloud (Resource Manager, DevOps), .NET/C#, SQL Server, React, Angular, and Power BI for analytics. Infrastructure relies on Terraform, Kubernetes, Docker, and CI/CD automation.
Active projects include POS enablement for home improvement contractors, enterprise data model design, Power BI self-service analytics, digital lead generation strategy, and delinquency analysis for risk trending and credit policy optimization.
Medallion Bank's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.