Assessment of Dominica’s Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) Regime
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AML Findings
Lack of Proactive Approach
- React instead of act: Dominica takes a reactive rather than proactive approach to identifying money laundering (ML).
- Insufficient ML investigations: The number of ML investigations, prosecutions, and convictions is not commensurate with Dominica’s risk profile.
- Low conviction rate: ML cases are not prioritized within the judicial system, which hampers successful prosecution.
- Confiscation of proceeds: While there is a sound legal framework for freezing, seizing, and confiscating criminal proceeds, it is not being effectively enforced.
CTF Findings
Strong Legal Framework
- Criminalization of TF: Dominica has a strong legal framework for the criminalization of terrorist financing (TF).
- Limited TF prosecutions: Authorities have not prosecuted any TF cases in the period under review.
- Lack of targeted approach: The National Risk Assessment (NRA) did not consider several TF vulnerabilities, including cross-border wire transfers, non-profit organizations (NPOs), and legal persons.
- Insufficient training and professional development: CAs lack a national CFT policy that would continuously assess the TF threat, identify requirements for training and professional development.
TF-SF Findings
Nascent Regime
- Developing TFS-TF regime: Dominica’s TFS-TF regime is still developing, with recent amendments to the SFTA addressing designations, procedures, and mechanisms governing TFS-TF.
- Lack of guidance: The FSU has not issued guidance on TFS obligations for financial institutions (FIs) or designated non-financial businesses and professions (DNFBPs).
- Insufficient training: Specific training has not been provided by the FSU in relation to TF risks and vulnerabilities in NPOs.
Conclusion
While Dominica has made progress in establishing a legal framework for AML/CTF, there are still significant challenges to be addressed. These include enforcing confiscation of proceeds, improving ML investigations and prosecutions, and addressing TF risks through targeted approaches, training, and professional development.