Fraud Analytics Officer

This position is primarily responsible for analyzing fraud data, trends, patterns, and system alerts to identify potential fraud risks across the company’s branches and digital channels. The role shall support the Fraud Management team in monitoring fraud activity and system effectiveness, validating suspected fraudulent transactions, and improving fraud detection rules and scenarios. The position is also responsible for providing timely analytics, dashboards, reports, and data-driven insights to support fraud prevention, strengthen fraud controls, and enable informed management decision-making.

Duties and Responsibilities:

• Monitors fraud alerts, transactions, and forensic events from the Fraud Management System (FMS).
• Analyzes fraud trends, patterns, and unusual activities across branches and digital channels.
• Investigates and validates data related to suspected fraudulent transactions and cases.
• Assesses the effectiveness of fraud rules and recommend improvements or new detection scenarios.
• Identifies emerging fraud risks and provide data-driven recommendations to strengthen fraud controls.
• Conducts root-cause and trend analysis of recurring fraud incidents to identify control gaps and opportunities for preventive action.
• Prepares fraud statistics, dashboards, and regular reports for management.
• Coordinates with Fraud Officers, IT, Development, Operations, and other business units on fraud-related findings.
• Creates ROC/BSG Deck and other management presentations on fraud trends, alerts, and key findings.
• Monitors and reports on fraud detection system performance, including alert volumes, detection effectiveness, and relevant operational metrics.
• Tracks and documents agreed fraud detection enhancementsto support timely implementation.

Qualifications:

• Graduate of any four (4) year course preferably in Banking, Finance, Accounting, Legal Management or Information Technology, or any related field
• At least three (3) years of work-related experience in fraud investigation and analysis, risk analysis, and data analytics
• Willing to work in Makati