Case Study: zipMoney boosts underwriting automation 50% and halves analytics build time with Amazon Web Services

zipMoney - Customer Case Study

zipMoney is an Australian fintech in the “buy now, pay later” market that provides real-time, point-of-sale credit. As customer volume and the variety of data (including 200+ device attributes per application and semi-structured sources) grew, traditional SQL approaches became limiting and analytics and underwriting decisions slowed, prompting the company to pursue a serverless, big-data solution to automate underwriting and scale operations.

Working with AWS, zipMoney built a data lake and analytics platform using S3, EMR, DynamoDB, Lambda, Elasticsearch, KMS and AWS Managed Services. The platform enabled faster data cleanup and ad-hoc queries, accelerated ML model development (analytical build times cut by more than 50%), and powered AI-driven underwriting that increased automation rates by 50%, while reducing operating costs and technical strain.

zipMoney

Daniel Bambagiotti

Head of Analytics & Data Science