and vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize data-driven projects focused on fraud and analytics. Optimizing Detection Models: Continuously review, analyze Management: Balance client's needs for accurate fraud detection with minimizing disruptions to legitimate transactions Quality: Manage data quality issues related to fraud detection. Integrate new data sources when needed to Prior experience developing or working with fraud detection models is highly desirable. Experience in data
and vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize data-driven projects focused on fraud and analytics. Optimizing Detection Models: Continuously review, analyze Management: Balance client's needs for accurate fraud detection with minimizing disruptions to legitimate transactions Quality: Manage data quality issues related to fraud detection. Integrate new data sources when needed to Prior experience developing or working with fraud detection models is highly desirable. Experience in data
management experience.
segmentation, credit risk assessment, and fraud detection.
Utilizing big data technologies and cloud
segmentation, credit risk assessment, and fraud detection.
Utilizing big data technologies and cloud
Operations:
Lead the fraud operations team to detect, investigate, and prevent fraudulent
on the platform.
Develop and enhance fraud detection algorithms and tools to stay ahead of emerging
segmentation, credit risk assessment, and fraud detection. Utilizing big data technologies and cloud
segmentation, credit risk assessment, and fraud detection. Utilizing big data technologies and cloud
segmentation, credit risk assessment, and fraud detection. Utilizing big data technologies and cloud
segmentation, credit risk assessment, and fraud detection. Utilizing big data technologies and cloud