Ask Balleby Hviid

Developed and deployed ML-based fraud detection model targeting early account activity, now running in production on SageMaker. End-to-end ownership from feature engineering through deployment. Maintained Customer Risk Rating model using AHP for parameter weighting. Built PSI monitoring system for data drift detection. Defined KPIs across fraud detection and AML—built Looker dashboards serving as central reference for team strategy.

Transitioned from operations into technical role, establishing data science and analytics capabilities within Financial Crime Risk from scratch. Built first analytical frameworks and dashboards for transaction monitoring and fraud detection. Developed automated transaction monitoring rules using Pypika.

Quickly became lead on complex business cases, building deep domain expertise in AML, fraud typologies, and regulatory requirements. Built operational tooling in Excel that improved case processing speed and quality.

Performed customer and transaction analysis across two banking institutions. Built foundational expertise in financial compliance and risk assessment. Became go-to resource on complex business customer cases.