ACCENTURE PTE LTD Hiring! Full Time Lead Project Manager - Tookitaki AML Platform in East Region (Singapore), Earn up to SGD 10,000 - Ricebowl

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

Preferred Qualifications

• PMP, Agile, or similar project management certification

• CAMS, CFE, or equivalent AML/fraud certification

• Background in data science or analytics

• Experience with Python, R, or SQL for data analysis

• Knowledge of model risk management (MRM) frameworks

• Previous experience implementing AI/ML solutions in banking

• Familiarity with graph analytics and network analysis for AML