ASX-listed digital lender automating finance workflows with AI
MONEYME is a publicly listed Australian non-bank lender focused on car loans, personal loans, and credit cards. The tech stack is heavily Azure-native with NetSuite-backed finance operations and Braze for CRM lifecycle management. Active hiring across finance, support, and security roles signals internal scaling; the project list—CRO optimization, structured experimentation, AI-driven finance automation—reveals a shift from product-led lending toward revenue and operational efficiency, with finance modernization and loan-decision automation as near-term priorities.
Notable leadership hires: Marketing Growth Lead
MONEYME is an ASX-listed consumer lender and Certified B Corporation operating across Australia. The company offers digital-first car loans, personal loans, and credit cards, positioning on competitive rates and service speed relative to traditional banks. Operations span licensed credit and financial services entities. The organization runs approximately 50–200 staff and is currently scaling finance, support, and security teams—consistent with both regulatory compliance maturity and internal automation projects underway.
MONEYME runs on Azure infrastructure (VMs, Kubernetes, load balancing, DNS, firewall, Entra ID), NetSuite for finance, Braze for CRM, Power BI for analytics, and .NET for backend services. Security tooling includes SAST, DAST, OWASP, Microsoft Sentinel, and Sumo Logic.
Current projects include conversion-rate optimization across acquisition funnels, a structured experimentation program, CRM lifecycle strategy via Braze, AI-driven finance workflow automation, and broader finance system improvements. Pain points center on loan-decision speed and finance modernization.
MONEYME'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.