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The U.K. financial regulator will likely use algorithms to review banks' annual reports on their anti-money laundering programs and identify potential compliance breaches, say analysts. Stefan Hunt, head of data science at the Financial Conduct Authority, or FCA, said in a speech last month that the supervision team has created an algorithm-based program that can learn from past compliance breaches to provide a "single risk score" for each of the 56,000 regulated firms, to indicate the likelihood of a firm having "notable" breaches in future. "The model potentially allows the supervisors to be more proactive to prevent harms from occurring,...