Head of Anti Fraud
About this position
Responsibilities
• Develop and implement comprehensive fraud detection strategies and business rules to balance fraud losses.
• Build strong relationships with other departments to gain risk management support.
• Manage multiple projects to enhance and optimize fraud system and tool strategies.
• Develop annual work plans for the Fraud team and discuss them with IA and CEO.
• Inventory collateral assets from suppliers submitted to the company and ensure their existence both in terms of documents and physically.
• Lead root cause analysis to identify opportunities to predict, prevent, and reduce risks in processes and performance.
• Identify risk factors and potential fraud activity trends using technical data analysis and statistical interpretation.
• Utilize analytics to optimize existing fraud strategies, reduce false positives, and increase fraud detection rates.
• Extract and analyze data, investigate data integrity, create metrics, and perform data and portfolio analysis.
• Generate fraud metrics to demonstrate fraud system performance for management reporting.
• Develop trend reports and key indicators to serve as early warning risk indicators for potential fraudulent activities.
• Manage the handling of WBS reports, from interviewing reporters, collecting evidence, and reporting investigation results.
• Prepare reports on the results of annual work plan implementation according to the deadlines of each activity.
• Monitor the resolution of fraud cases found, including consequences and improvements implemented.
• Partner with internal partners throughout the company to make changes and increase awareness through fraud detection coordination.
Requirements
• Bachelor's degree in a relevant field.
• Proven experience in fraud detection and prevention.
• Strong analytical skills with the ability to interpret data and trends.
• Excellent communication and interpersonal abilities.
• Ability to manage multiple projects and work effectively under pressure.
• Proficiency in data analysis tools and techniques.
• Knowledge of risk management principles and practices.
• Experience in developing fraud detection strategies.
• Strong leadership and decision-making skills.
• Ability to collaborate with cross-functional teams.