Case Study: Global Credit minimizes risk and maximizes revenue with DataRobot

How a fast-growing lender minimizes risk, maximizes revenue with DataRobot

Global Credit, a fast-growing Armenian lender offering consumer, mortgage, business and agricultural loans, needed to scale online lending while navigating strict regulation, fraud prevention and limited in-house modeling capacity. To accelerate its digital transformation and maintain compliance, Global Credit engaged DataRobot—using products such as AI Foundation, Predictive AI, AI Governance and AI Observability—and worked with DataRobot data scientists to shorten modeling time and enforce strong data governance.

DataRobot and Global Credit developed and deployed several high‑impact predictive models in eight weeks, enabling the lender to identify lower‑risk unbanked customers, target returning customers more efficiently, and monitor data drift for timely model recalibration. Using DataRobot, Global Credit increased its loan acceptance rate—and revenue—while keeping risk at the same level, reduced customer acquisition and collection costs, and gained greater model transparency and operational control.

Global Credit

Tamara Harutyunyan

Chief Risk Officer and Chief Data Officer