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What is the role of credit rating companies in the Dominican Republic?
Credit rating companies in the Dominican Republic are responsible for evaluating and assigning ratings to the payment capacity and credit solvency of companies and financial entities. These ratings are used by investors and lenders to assess an entity's credit risk and make informed investment and lending decisions.
What information is found in the contravention records in Argentina?
The contravention records in Argentina contain information on minor infractions, such as traffic violations, violations of municipal regulations, riots, among others. These records indicate the date and location of the violation, as well as the penalties imposed.
What is the procedure for reviewing and updating AML policies and procedures in financial institutions?
Financial institutions in Guatemala should regularly review and update their AML policies and procedures to ensure they are aligned with current regulations. This involves risk assessment, staff training and adaptation to legislative changes.
What is the function of the Federal Telecommunications Institute in Mexico?
The Federal Telecommunications Institute (IFT) is the authority in charge of regulating and supervising the telecommunications sector in Mexico, promoting competition, quality and coverage of services.
What government agencies in Chile are responsible for identity verification?
In Chile, identity verification is carried out by several government agencies, such as the Civil Registry and Identification, which issues the identity card and the RUT. There are also agencies related to security and justice, such as the Investigative Police, that can participate in criminal background checks.
What is Ecuador's approach towards the inclusion of innovative technologies, such as artificial intelligence and data analysis, in the detection of money laundering?
Ecuador has adopted innovative technologies, such as artificial intelligence and data analysis, in the detection of money laundering. These tools improve the ability to identify suspicious patterns and behavior in large financial data sets, thereby strengthening prevention and detection efforts.
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