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1、Bridging innovation and complianceNovember 2025KPMG.Make the Difference.Machine learning models in Financial Crime Compliance(FCC)2 2025 KPMG Assurance and Consulting Services LLP,an Indian Limited Liability Partnership and a member firm of the KPMG global organization of independent member firms af

2、filiated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.Bridging innovation and compliance-Machine learning models in FCCContentsIntroductionModel usage across customer lifecycleCrucial role and regulatory scrutiny on financial crime complianceLimi

3、tations of current manual/rule-based practicesUsage of models for solving current challengesModel-driven usage for specific AML activitiesRisk landscape The imperative of independent model validationIndependent model validation procedure and key metricsConclusion:The future of AML AI-powered and val

4、idatedIntroductionModel usage across customer lifecycleCrucial role and regulatory scrutiny on financial crime complianceLimitations of current manual/rule-based practicesUsage of models for solving current challengesModel-driven usage for Specific AML activitiesRisk landscape The imperative of inde

5、pendent model validationIndependent model validation procedure and key metricsConclusion:The future of AML AI-powered and validated3 2025 KPMG Assurance and Consulting Services LLP,an Indian Limited Liability Partnership and a member firm of the KPMG global organization of independent member firms a

6、ffiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.Bridging innovation and compliance-Machine learning models in FCCIntroductionConfronted by the surge in sophisticated financial crime and rising customer expectations,banking industry stand a