Case Study: Security Bank Corporation achieves faster AI-driven banking operations with Dataiku

Security Bank Corporation Enhancing Bank Operations With AI

Security Bank Corporation, a leading bank in the Philippines, faced inefficient liquidity risk models, manual and slow expected credit loss (ECL) calculations, and delays in ML model deployment. Using Dataiku’s Universal AI Platform, the bank needed a more scalable, standardized way to improve forecast accuracy, reduce operational effort, and meet regulatory requirements.

Dataiku helped Security Bank Corporation automate and centralize key workflows, including liquidity risk modeling, ECL calculations for 15 portfolios, and model deployment. The results were significant: the bank cut the number of liquidity risk models from 12 to one, reduced manual data preparation and ECL calculation time by 75%, and lowered monthly ML model runtime by 75% from 16 hours to four, improving efficiency, compliance, and collaboration.

Security Bank Corporation

Ellen Grace Goromeo

Data Scientist