The most important risk factor in this scenario is the proposed offshore jurisdiction that is known for its strong privacy laws limiting access to customer information by law enforcement. This indicates that the customer may be trying to evade tax, hide the source or destination of funds, or engage in other illicit activities that could expose the bank to money laundering or terrorist financing risks. Offshore jurisdictions are often used by criminals to create complex corporate structures that obscure the beneficial ownership and control of the entities involved. The bank should conduct enhanced due diligence on the customer, the offshore company, and the nature and purpose of the transactions.
References:
* ACAMS CAMS Certification Study Guide, 6th Edition, Chapter 2, page 35-36, 38-39
* ACAMS CAMS Certification Video Training Course, Module 2, Lesson 2.3, Offshore Financial Centers
* 1, CAMS Certification Package - 6th Edition | ACAMS, Offshore Financial Centers and Money Laundering
* 2, CAMS Certifications: How to Get CAMS Certified | ACAMS, CAMS Exam Outline, Domain 2, Task 2.3

An automated transaction monitoring system is a tool that analyzes transactions and customer behavior for signs of money laundering or other financial crimes, and generates alerts when suspicious or unusual activity is detected. The system relies on a set of rules and parameters that define what constitutes normal and abnormal transactions, based on the risk profile and business nature of the financial institution or business.
These rules and parameters need to be periodically reviewed and updated to ensure that they are effective and compliant with the latest regulations and best practices.
One of the factors that would most likely result in a change in the monitoring system parameters is when the national Financial intelligence Unit (FIU) issues new risk indicators. The FIU is a central authority that collects, analyzes, and disseminates financial intelligence related to money laundering, terrorist financing, and other financial crimes. The FIU also provides guidance and feedback to financial institutions and businesses on how to comply with their anti-money laundering (AML) obligations and improve their transaction monitoring systems. The FIU may issue new risk indicators based on its analysis of emerging trends, typologies, and threats in the financial sector, or based on international standards and recommendations.
These risk indicators are intended to help financial institutions and businesses identify and report suspicious transactions more effectively and efficiently.
Therefore, when the FIU issues new risk indicators, the financial institution or business should review its existing monitoring system parameters and adjust them accordingly to reflect the new risks and scenarios. For example, the FIU may issue new risk indicators related to the use of cryptocurrencies, virtual assets, or online platforms for money laundering or terrorist financing. In that case, the financial institution or business should update its monitoring system parameters to include new rules, thresholds, or patterns that capture these activities and generate alerts for further investigation.
References:
* 1: The Complete Guide to Transaction Monitoring: Everything to Know
* 2: AML Scenarios: Transaction Monitoring Challenges
* 3: Setting AML Transaction Monitoring Thresholds
* 4: Automated Transaction Monitoring - Considerations for System Implementation
* 5: ACAMS (2020). CAMS Certification Package (6th Edition)

Explanation
Retail banks typically have a high inherent risk of money laundering due to their provision of cash services.
This is because cash is a preferred medium of exchange for criminals and terrorists, and retail banks provide a convenient way for them to move large sums of money without detection. Retail banks are also vulnerable to money laundering through the use of false identities and other deceptive practices. (CAMS Manual, 6th Edition, Page 8).