Brazilian retail operator scaling financial systems and fraud detection
Grupo Pernambucanas is a large Brazilian fashion and lifestyle retailer modernizing its operational backbone. The tech stack reveals a hybrid enterprise architecture—Oracle EBS and Fusion for core finance, combined with Python, Kafka, and cloud platforms (AWS, Azure, GCP) for analytics and emerging data work. Current hiring is heavily weighted toward finance (9 roles) and sales (5 roles) with acute pain points around budgeting automation, forecast accuracy, and fraud detection, suggesting the company is building internal data and compliance capabilities to support scale.
Grupo Pernambucanas is a large, privately held Brazilian retail company operating a national store network alongside distribution and corporate functions. The business spans apparel, lifestyle merchandise, and related categories across physical locations and online channels. With over 10,000 employees based in São Paulo, the company manages complex supply chains, inventory, and customer financing operations typical of large Brazilian retailers. Recent project activity centers on financial planning systems, fraud detection infrastructure, and collection processes—areas critical to retail margin and risk management.
Oracle EBS and Oracle Fusion for enterprise resource planning; PostgreSQL and MySQL for databases; Python and SQL for analytics; Kafka and RabbitMQ for messaging; AWS, Azure, and GCP for cloud; Salesforce for CRM; Power BI for reporting.
Financial and strategic planning implementation, fraud indicator development and alert automation, macro-economic scenario analysis, collection process improvement, and forecast accuracy enhancement across store data management.
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