Brazilian bank scaling digital products and data infrastructure
Banco PAN operates a mid-sized digital banking platform in Brazil with 3M+ active customers across auto financing, consumer credit, and payroll-deducted loans. The tech stack reveals heavy investment in data infrastructure (MLflow, Airflow, dbt, Kafka, Superset) paired with AWS cloud and marketing automation tooling—a pattern consistent with a data-driven bank moving toward AI-powered decisioning and personalization. Hiring velocity is accelerating with engineering and sales leading growth, while active projects confirm focus on generative AI data products, WhatsApp conversational banking, and consignado (payroll-deducted) product optimization.
Banco PAN is a Brazilian retail and digital bank founded in 2011, headquartered in São Paulo. The bank serves individuals and small businesses through auto financing, personal loans, credit cards, and consigned credit products. The platform operates through 100+ physical sales points, 1,300+ mortgage partners, 1,300+ correspondent banks, and 9,750+ vehicle dealerships and resellers. The organization runs approximately 3,500 employees across engineering, product, data, sales, and operations, with hiring concentrated in Brazil and skewed toward engineering and senior-level roles.
Python, Java, .NET/C#, SQL, PySpark, Kafka, RabbitMQ, MongoDB, AWS (EKS, Lambda, Glue), GitHub/GitLab, MLflow, Airflow, dbt, Superset, Metabase, Power BI, Salesforce Marketing Cloud, and WhatsApp integration.
Active projects include generative AI data products, WhatsApp conversational flow orchestration, data collection for web/app analytics, GA4/Looker dashboard maintenance, marketing tool implementation, and financial planning automation for consigned loan products.
Other companies in the same industry, closest in size