Overview

Responsible for the governance and enhancement of the Company’s fraud detection and prevention programs and leveraging the use of data analytics. You will serve as a key business partner to our leadership team and associated functional areas, lead all financial intelligence, internal and external investigations and support fraud prevention, detection, fraud system tuning and enhancements by use of analytics

What You Will Do

• Develop, implement and administer the Company’s fraud detection and prevention system programs.
• Keep pace with enterprise-wide demands and risks.
• Forge relationships across the enterprise to ensure awareness of changes, additions or enhancements to strategic data repositories and fraud remediation initiatives.
• Employ fundamental data management strategies.
• Partner with owners of strategic systems across the enterprise.
• Continuously assess the performance of the fraud detection and prevention programs and oversee the implementation of business logic.
• Leverage data driven analysis to make recommendations to management on changes and enhancements to fraud detection and prevention system program.
• Analyze data and offer options to mitigate future risks and prevent future fraud loss.
• Report fraud findings, disseminate fraud trends across organization and communicate fraud related topics to employees.
• Represent the Company with applicable regulators and provide any information as requested.
• Oversee fraud monitoring and dispute management to ensure best practices.
• Oversee card base management system and card maintenance

Required Qualifications, Skills and Competencies

• Bachelor’s degree in business, accounting, data management, quantitative or other related area preferred. Master’s degree desired and CFE and/or other industry certification preferred.
• Minimum 5 years of data management and/or data analytics experience. Experience with Business Objects, Tableau, Verafin Excel, as well as knowledge of the financial industry.
• Minimum 5 years’ experience in business intelligence, decision or pattern analysis, data flow and/or data modeling.
• Strong knowledge of financial regulations including but not limited to Reg CC, Reg E, Reg B, Reg Z, UCC4, AML/BSA CIP, KYC, EDD and ID Theft Red Flags Program.
• Advanced analytical, data analysis, problem solving skills and experience with data visualization.
• Experience in financial crimes detection.
• Experience working with fraud technology and platforms used in authentication and money movement risk solutions