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Implementing AML/CFT Regulations for Non-Bank Card-Based Payment Instrument Issuers, Electronic Money Issuers, and Non-Bank Electronic Wallet Providers
Guidelines Overview
It appears that you’ve provided a comprehensive overview of guidelines for implementing anti-money laundering and countering the financing of terrorism (AML/CFT) regulations for non-bank card-based payment instrument issuers, electronic money issuers, and non-bank electronic wallet providers.
Key Components
The guidelines are broken down into several key components:
Customer Information
- The presence of customer information features
- Electronic wallet (EW) nominal transactions for credit cards, debit cards, other EM issuers, EM own products, virtual accounts, and others
- The volume or frequency of EW transactions
Delivery Channel
- A transaction network is a medium for carrying out transactions of a product or service
- High risk inherent in the delivery channel that allows transactions to occur without adequate CDD process
- Data required from Providers includes:
- Number of issuers and 3rd parties brokering CBPI, EM, and/or EW marketing
- Number of offline merchants
- Number of online merchants
- Number of principals
Cross-Border Transaction
- The presence of cross-border transaction features
- EW nominal transactions for credit cards, debit cards, other EM issuers, EM own products, virtual accounts, and others
- The volume or frequency of EW transactions
Politically Exposed Person (PEP)
- Definition of PEP: a person who is given the authority to perform prominent functions by another country, the country, or international organizations
- Presence of PEP increases risk of using Issuer/Provider’s products for ML/FT
- Data required from Providers includes:
- Number of PEP
Assessment
- Self-assessment by Issuers/Providers using a questionnaire on the Self-Assessment form provided by BI (Appendix 2)
- Assessment based on compliance with applicable regulations, including active supervision by the Board of Directors and adequate monitoring
- Risks can be classified as Low, Medium, or High, depending on the inherent risk value calculated using the RBA tool prepared by Bank Indonesia (Appendix 1)