It is crucial for businesses to adopt the Anti-Money Laundering and Combating the Financing of Terrorism framework to maintain trust and prevent illicit activities in this changing landscape of the financial sector.
A big part of AML compliance is collecting and assessing different kinds of data to reduce risks effectively. Understanding the types of data needed for AML compliance is crucial for businesses aiming to meet regulatory requirements and fight financial crime.
The following is the list of essential data types for AML compliance:
1. Know Your Customer (KYC)
KYC Data is crucial for ensuring compliance with AML/CFT regulations. It comprises personal details of customers that include name, address, date of birth, ID documents, and unique identification number. Businesses use KYC information to confirm the identity of their customers, evaluate associated risks, and meet regulatory requirements.
2. Biometric Data
Biometric data includes customer data pertaining to fingerprints, facial recognition patterns, and voiceprints. This data boosts the security of the KYC process, as it uses unique physical traits to help confirm identity and lower the chances of identity theft and fraud.
3. Geographic Data
Geographic data provides insights into customer whereabouts and geographic locations of customer activities. Gathering geographic data helps assess the perceived level of corruption and criminal activity within the country. Further, this data restricts businesses from engaging with customers hailing from black-list countries, thereby flagging potential money laundering activities.
4. Sanctions Database
A sanctions database contains lists of individuals, organisations, or countries subject to economic or trade sanctions and calls to action. Integrating these databases into AML compliance systems helps businesses screen their customers, transactions, or partners against these lists, ensuring they don’t do business with sanctioned entities.
5. Screening Data
AML screening involves data to assess the risk associated with customers according to AML/CFT regulations. This data helps businesses check if the customers are listed in sanctions lists, politically exposed persons (PEPs) databases, banned watchlists, and adverse media reports.
6. Risk Assessment Data
Risk assessment data includes data used to evaluate the level of risk associated with customers, transactions, and business relationships. This data helps businesses analyse factors such as transaction value, pattern, frequency, and counterparties, further assign risk ratings and tailor their AML measures accordingly.
7. Transaction Data
Transaction data includes details regarding all financial transactions conducted by business entities with customers. This data encompasses details such as amount, timer and parties involved in transactions. With this data, business entities can effectively assess the risk associated with them, detect unusual patterns, and provide information about activities that require reporting to regulatory authorities.
8. Alerts and Notification
Alerts and notifications are warning signals that highlight potential AML risks or non-compliance with regulatory requirements. The proper implementation of alerts and notifications systems within AML measures helps businesses generate alerts for suspicious activities, enabling timely investigation and reporting.
9. Regulatory Reporting Data
Regulatory reporting data consists of information needed to fulfil reporting obligations to regulatory authorities and pertaining to reported customers and activities. Maintaining this data facilitates investigations by the appropriate authorities wherever required.
