Financial modernization and BI services for banking, insurance, and energy
Biwares is a financial-systems consultancy built around Oracle ERP/SCM/Fusion implementations paired with Python-based ML (PyTorch, TensorFlow, scikit-learn). The tech stack reveals a traditional enterprise modernization play—moving clients from legacy finance stacks to cloud ERP—layered with data-science capabilities for analytics and forecasting. Hiring is heavily skewed toward finance roles (4 open), suggesting client demand centers on revenue recognition, regional financial processes, and billing operations rather than greenfield AI work.
Founded in 2004, Biwares provides financial modernization, business intelligence, and data management services to mid-market and enterprise clients in banking, insurance, oil & gas, utilities, retail, and manufacturing. The firm operates across 7 countries in the Americas and Europe, with around 200 professionals. Their core service areas span Oracle Cloud ERP migrations, data warehousing, ETL, and planning/budgeting/consolidation projects. Over 20 years they have completed more than 600 projects, with current focus on regional financial process standardization, macro-level accounting, and end-to-end payment-cycle automation.
Oracle ERP Cloud, Oracle SCM Cloud, and Oracle Fusion Cloud ERP form the primary platform suite. Python, Flask, and FastAPI support custom analytics and API layers; ML work uses PyTorch, TensorFlow, and scikit-learn.
Primary pain points include revenue recognition, regional financial process management, financial reporting, end-to-end purchase-to-payment cycles, and daily billing operations.
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