Corios helped an $82B bank replace outdated software and rethink reporting processes without disrupting a single deadline

Corios helped an $82 billion U.S. regional bank modernize its Current Expected Credit Losses reporting before its SAS technology reached end of support, migrating credit-risk models across 10 loan portfolios to a Dataiku and Databricks environment without missing quarterly reporting deadlines. The project translated SAS models into Python and PySpark, centralized inputs and scenarios, automated execution, reporting, approvals, and stakeholder notifications, and used Databricks MLflow to manage model versions. Individual model runs that previously required multiple days were reduced to under 30 minutes, while preserved data, code, assumptions, adjustments, and model versions improved reproducibility and auditability. Before deployment, Corios supported two live-data dress rehearsals and validation checks comparing legacy and new outputs, leading to approval from the model risk team, Internal Audit, and KPMG, with production results approved on March 30, 2025. The migration also eliminated SAS licensing costs, addressed a manual publishing control weakness, and trained internal teams to operate and expand the platform for other risk and analytics uses.

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