Intelligence-led analytics for anti-financial crime compliance

Ashley Bostel
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Ashley Bostel: Head of Financial Crime Analytics, NatWest Group, UK

Journal of Financial Compliance, 2024, vol. 7, issue 3, 202-221

Abstract: Financial institutions are continually looking for novel ways to improve the effectiveness of their anti-financial crime controls. Increasingly, they are turning to analytics to do this by embedding analytics into their anti-financial crime processes. Historically, analytics was used to gather information and provide summarisation and insights to support assessment and optimisation of financial crime controls, but advanced analytics and machine learning solutions have transformed the way financial crime is detected and investigated. In particular, the use of ‘intelligence-led’ analytics can improve the effectiveness of an institution's anti-financial crime controls by guiding them with additional financial crime intelligence information delivered through analytics solutions.

Keywords: intelligence-led analytics; analytics; financial crime; compliance; financial crime analysis; anti-financial crime analytics; transaction monitoring; financial crime investigation; machine learning; network analytics; big data; cloud computing; artificial intelligence; generative AI (search for similar items in EconPapers)
JEL-codes: E5 G2 K2 (search for similar items in EconPapers)
Date: 2024
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