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CAMS (Certified Anti-Money Laundering Specialist)
4 หมวด · 29 บท
สรุปวิชาCAMS (Certified Anti-Money Laundering Specialist)สำหรับนักเรียนCAMSแบบฟรี แต่ละบทด้านล่างครอบคลุมหัวข้อสำคัญพร้อมตัวอย่างและโจทย์ที่ฝึกต่อในแอป thinka ได้ทันที
Understanding the Risks and Methods of Financial Crime
Defining AML, CFT, Sanctions, Fraud, Anti-Bribery and Corruption, and Tax Evasion
Economic, Reputational and Social Consequences of Financial Crime
Financial Crime Risks in Banking: Products, High-Risk Sectors and PEPs
Financial Crime Risks in MSBs, Payment Service Providers, E-Commerce and Insurance
Financial Crime Risks in Virtual Assets, Gaming and Real Estate
Financial Crime Risks Related to Gatekeepers, Trusts and Company Service Providers
Financial Crime Risks in Other High-Risk Business Sectors and Structures
Terrorist Financing
Global AFC Frameworks, Governance and Regulations
The Financial Action Task Force: Role, Recommendations and Regional Bodies
The United Nations' Role and Sanctions Regimes
Regulators, Law Enforcement and Financial Intelligence Units: Roles and Cooperation
Public-Private Partnerships and Industry Collaboration Against Financial Crime
National and Sectoral Risk Assessments and the Risk-Based Approach
AFC Regulatory Regimes in the US, EU and Other Jurisdictions
Related Laws Affecting AFC: Data Privacy, ESG, Conduct and Financial Inclusion
Building an Anti-Financial Crime Compliance Program
Compliance Program Fundamentals: Core Pillars, Three Lines of Defense and FC Team Structure
Risk Appetite Statements and Enterprise Risk Assessment
Policies, Procedures, Governance Committees, Training and Awareness
Customer Lifecycle Controls: KYC, CDD, EDD and Employee Due Diligence
Investigating Unusual Activity and Filing the Suspicious Activity Report
Escalation, Offboarding and Responding to Law Enforcement Requests
Management Reporting, KPIs/KRIs and Coordination with Other Risk Functions
Money Laundering, Terrorist Financing and Sanctions Red Flags
Tools and Technologies to Fight Financial Crime
Onboarding Technologies: E-KYC, Digital Identity, Biometrics and External Data Sources
Sanctions and Watchlist Screening: Name Screening, Fuzzy Logic and List Management
Ongoing Monitoring: Perpetual KYC, Adverse Media and Batch Screening
Payment Screening and Transaction Monitoring: Rules-Based and AI/Machine-Learning Approaches
Investigative Technologies: Open-Source Tools, Automation and Network Analysis
Data Privacy, Tool Selection and Operational Effectiveness
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