Microfinance bank scaling analytics and credit risk infrastructure across Peru
Mibanco is Peru's largest microfinance institution, serving 1.3M+ customers through 10,000+ employees. The tech stack reveals a data-driven operating model: Oracle + PL/SQL for core banking, combined with modern cloud analytics (Azure Data Factory, Databricks, Synapse, Power BI) and cloud storage (AWS, GCP, Azure). Active hiring across product, data, and risk functions—with a manager-to-senior mix—suggests a scaling phase focused on automating credit risk models, migrating legacy data processes, and optimizing product launch workflows.
Mibanco is the microfinance subsidiary of Grupo Credicorp, operating as a specialized banking institution for small entrepreneurs across Peru. The bank's mission centers on financial inclusion, serving over 1.3 million customers nationwide and employing more than 10,000 staff. Core infrastructure runs on Oracle and PL/SQL, with analytics pipelines built on Azure (Data Factory, Cosmos DB, Synapse) and Databricks. The organization is actively working to modernize legacy data workflows, develop automated credit risk models, build dashboards for operational insight, and streamline product launch and account-opening journeys.
Mibanco uses Oracle and PL/SQL for core systems, with analytics on Azure (Data Factory, Cosmos DB, Synapse), Databricks, and visualization via Power BI, Tableau, and Looker Studio. Cloud platforms include AWS, Azure, and GCP for storage and compute.
Mibanco serves over 1.3 million customers nationwide, positioning it as the largest microfinance institution in Latin America and the second largest globally.
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