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Regulators in Estonia have begun using a new mathematical model to analyze aggregate payment data that lenders must submit to the Baltic nation's central bank each month to identify the financial sector's vulnerabilities to money laundering. Matis Maeker, head of anti-money laundering supervision at the Financial Supervisory Authority, said the algorithm, which the FSA developed jointly with the Bank of Estonia and began using last month, has allowed his agency to more closely review payments in and out of the country's 14 lenders, and react more quickly when risks emerge across the sector or within individual firms. The new approach...