Analytics Lead, Deposit Fraud Risk

This role will take charge of owning fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics

Data Pipeline, Analytics & Monitoring

• Build and maintain scalable data models and transformation pipelines, using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data.
• Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency.