Managing AML, Financial Crime, and Data Risks

Managing AML, Financial Crime, and Data Risks

Rationale

In an era of increasing digitalization, financial institutions face heightened exposure to sophisticated financial crimes and data breaches.

Regulatory bodies are intensifying scrutiny, demanding more proactive and technology-driven compliance measures.

This course addresses the urgent need for advanced knowledge and strategic capabilities to manage these intertwined risks effectively.

Learning Objectives

• Analyse the evolving landscape of AML and financial crime threats.
• Evaluate regulatory expectations and compliance obligations across jurisdictions.
• Design robust AML and financial crime risk management frameworks.
• Integrate data governance and analytics into financial crime detection and prevention.
• Apply advanced tools and technologies (e.g., AI, machine learning, blockchain) in managing AML and data risks.
• Develop strategies for cross-border cooperation and information sharing.

Course Contents

• Strategic Overview of AML and Financial Crime Risks
• Regulatory Frameworks and Compliance Obligations 
• Data Risks and Technology in Financial Crime Management
• Integrated Risk Management and Strategic response
• Designing an Integrated AML and Data Risk Framework
• Cross-Border Cooperation and Intelligence Sharing
• Anti-Money Laundering (AML) and Financial Crime Regulations
• Data Protection Act, 2012 (Act 843)

 Learning Outcomes

• A strategic understanding of AML and financial crime typologies.
• Enhanced ability to assess and mitigate data-related risks.
• Practical skills in deploying technology for risk detection and compliance.
• A toolkit for designing and implementing integrated risk management frameworks.
• Strengthened capacity for regulatory engagement and cross-border collaboration.

Duration: 3 days

Skill Level: Advanced

Delivery Mode: Virtual

Month: April