About the Role Lead the implementation and enhancement of Tookitaki's Anti-Money Laundering (AML) Suite for customer prioritization, alert disposition, and dynamic customer risk ranking. This role drives the adoption of AI/ML-powered AML solutions to improve detection accuracy and operational efficiency. Key Responsibilities • Lead Tookitaki AML platform implementation projects for customer risk management • Drive customer prioritization model deployment and refinement initiatives • Manage alert disposition workflow optimization projects using Tookitaki's capabilities • Oversee dynamic customer risk ranking implementation and integration • Coordinate with data science teams on machine learning model deployment • Manage end-to-end project delivery including requirements, design, build, and deployment • Align Tookitaki solutions with AML risk framework and regulatory requirements • Lead change management and user adoption for AI/ML-driven AML processes • Establish KPIs and metrics to measure platform effectiveness • Manage vendor relationship with Tookitaki and ensure SLA compliance • Drive continuous improvement through model retraining and feature enhancement • Produce executive dashboards and reports on AML program effectiveness Required Skills & Knowledge • Tookitaki Expertise: Hands-on experience with Tookitaki AML Suite (Anti-Money Laundering, Transaction Monitoring, Customer Risk Scoring) • AI/ML in AML: Understanding of machine learning models for anomaly detection, risk scoring • Project Management: 8+ years leading technology projects, preferably in RegTech/AML • Customer Risk: Experience with dynamic customer risk rating methodologies • Alert Management: Knowledge of alert disposition workflows and optimization • Data Analytics: Familiarity with data science concepts, feature engineering, model validation • Regulatory Compliance: Strong knowledge of MAS AML/CFT requirements • Integration: Experience integrating AML platforms with core banking, KYC systems P