AML Analytics and Insights Officer

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Job Summary

The Analytics and Insights Officer shall support the integrated management of Anti‑Money Laundering (AML) and Fraud analytics, systems, strategies, and regulatory reporting. The role is responsible for developing data‑driven insights, supporting AML and fraud detection strategies, ensuring the effective operation of AML and Fraud systems, and maintaining high standards of regulatory reporting. The position contributes to strengthening the Bank’s financial crime risk management by combining analytics, system support, regulatory reporting, and operational data handling to enable proactive fraud prevention, AML compliance, and risk transparency

Key Responsibilities

• Perform data analysis, trend monitoring, predictive analytics, and behavioral/transactional reviews to identify emerging Fraud and AML risks and support risk management efforts.
• Develop dashboards, analytical reports, KPIs, KRIs, and management reports that provide timely insights for monitoring and strategic decision-making.
• Support the development, calibration, and continuous optimization of Fraud detection rules and AML monitoring scenarios to improve detection effectiveness.
• Provide analytical insights and recommendations to enhance Fraud and AML detection capabilities while reducing false positives.
• Ensure the integrity, availability, governance, completeness, accuracy, and quality of AML and Fraud-related data and datasets.
• Generate AML regulatory and governance reports, provide AML data for regulatory requests, reviews, and investigations, and manage CTR reporting, including validation, submission, repairs, and exception resolution.
• Support the management of sanctions, negative lists, government watchlists, and AML screening processes to ensure regulatory compliance.
• Support the management and enhancement of Fraud and AML systems through tool development, requirements documentation, UAT, system validation, performance monitoring, issue resolution, and coordination with IT and vendors.

Qualifications

• Preferably a graduate of BS Statistics or BS Math.
• Experience with AML or fraud data analytics, Management report generation and presentation, rule analysis, fraud detection management system is an advantage but not mandatory.
• With SAS background, analytics tool – extract data and analyzation of data. SQL and Python, Power BI.
• Data Story Telling or ability to interpret and analyze data for insights.
• Strong analytical skills is required.
• Experience in data science is an advantage.
• Unit: Financial and Control Sector / Anti-Money Laundering & Fraud Management Group
• Location: Metrobank Center, BGC, Taguig City