the organization's payment systems. Client Risk Management: Balance client's needs for accurate fraud detection industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud sources when needed to improve model effectiveness. Assist data engineering efforts to ensure the acquisition
the organization's payment systems. Client Risk Management: Balance client's needs for accurate fraud detection industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud sources when needed to improve model effectiveness. Assist data engineering efforts to ensure the acquisition