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| Section | Weight | Objectives |
|---|---|---|
| Global AFC Frameworks, Governance and Regulations | - AML Regulatory Framework (Elective options: Canada, EU, UK, USA) | |
| Tools and Technologies to Fight Financial Crime | ||
| Understanding Risks and Methods of Financial Crime | 30% | - Financial Crime Risks related to real estate - Financial Crime Risks related to gatekeepers - Financial Crime Risks related to insurance products - Financial Crime Risks related to Politically Exposed Persons (PEPs) and high-risk customers - Financial Crime Risks related to gaming and gambling - Financial Crime Risks related to MSBs, PSPs, and ecommerce platforms - Financial Crime Risks related to VASPs, cryptoassets, and related products - Financial Crime Risks related to products within other financial sectors - Financial Crime Risks related to trusts and company service providers |
| Building an AFC Compliance Program |
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NEW QUESTION # 350
A bank is using a network analysis tool to identify links between its customers and criminal entities.
The system identifies potential indirect relationships but is unable to prioritize them. What should the compliance officer do to enhance the tool's effectiveness?
Answer: B
Explanation:
Anti-Money Laundering (AML) regulations and guidance from bodies such as the Financial Action Task Force (FATF) emphasize the importance of a risk-based approach when identifying and managing money laundering and terrorist financing risks. Network analysis tools are commonly used by financial institutions to detect direct and indirect relationships between customers and known criminal entities. However, without prioritization, these tools may generate large volumes of alerts that reduce operational effectiveness.
Implementing risk-scoring algorithms for indirect connections allows the institution to rank identified relationships based on factors such as proximity to criminal entities, transaction volume, frequency, customer risk rating, and typology relevance. This enhances the tool's effectiveness by enabling compliance teams to focus on the highest-risk relationships first, in line with regulatory expectations for efficient and proportionate controls.
Manually reviewing all flagged relationships is impractical and inconsistent with scalable AML programs.
Integrating external databases or social media profiles may raise data quality, privacy, and governance concerns and is not a primary solution for prioritization. Focusing only on direct connections would weaken the AML framework, as criminals frequently use layered and indirect relationships to conceal illicit activity.
Therefore, applying risk-based scoring methodologies is the most effective and regulator-aligned way to enhance network analysis tools.
NEW QUESTION # 351
A financial institution's transaction monitoring system flags an unusually high volume of international wire transfers originating from a small business account. The transfers are being sent to multiple jurisdictions known for limited regulatory oversight. Additionally, an employee reports suspicious behavior from the account holder during an in-person visit, where they requested a large cash withdrawal without providing a clear business justification. As part of the investigation, the compliance team must assess whether this activity is suspicious and determine the appropriate next steps.
Which of the following steps should be taken first in the investigation process to properly gather information and assess whether the transactions are suspicious?
Answer: C
Explanation:
A: The first step in any suspicious activity investigation is to review the transaction history and other relevant account information to establish context, identify patterns, and determine if the behavior is consistent with known typologies of money laundering.
"The initial phase of an AML investigation is to review relevant account information and transaction activity to assess whether a SAR filing is warranted." This approach ensures that any subsequent decisions, such as escalation, SAR filing, or customer outreach, are based on a comprehensive understanding of the facts.
References:
CAMS 6th Edition, Suspicious Activity Monitoring and Investigation
FFIEC BSA/AML Manual, Suspicious Activity Reporting
NEW QUESTION # 352
Why is it important to use multiple sanctions lists, such as United Nations (UN), Office of Foreign Assets Control ("OFAC"), and European Union ("EU") lists, in name screening systems?
Answer: C
Explanation:
Using multiple sanctions lists ensures that financial institutions meet international regulatory obligations and can identify sanctions-related risks across different jurisdictions. This comprehensive approach strengthens compliance and reduces the likelihood of exposure to sanctioned individuals or entities.
NEW QUESTION # 353
Benefits of using artificial intelligence (AI) in conjunction with or in place of traditional rules-based transaction monitoring include that AI can: (Select Two.)
Answer: C,D
Explanation:
Artificial intelligence (AI) enhances transaction monitoring by complementing or improving upon traditional rules-based systems. Regulators recognize that AI can strengthen AML programs when deployed with appropriate governance and oversight.
One key benefit is the ability to identify changes in customer behavior over time. AI models analyze historical and real-time data to detect deviations from expected patterns, allowing institutions to reassess customer risk more dynamically and accurately.
AI can also generate predictive customer risk scores, helping institutions prioritize alerts and focus investigative resources on higher-risk customers and activities. This improves efficiency and effectiveness while supporting a risk-based approach.
AI is designed to reduce false positives, not increase them, and bias must be carefully managed during training through governance and data controls.
NEW QUESTION # 354
Which scenario indicates potential money laundering activity by a lawyer?
Answer: B
NEW QUESTION # 355
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