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Intelligence-led analytics for anti-financial crime compliance

Author

Listed:
  • Bostel, Ashley

    (Head of Financial Crime Analytics, NatWest Group, UK)

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.

Suggested Citation

  • Bostel, Ashley, 2024. "Intelligence-led analytics for anti-financial crime compliance," Journal of Financial Compliance, Henry Stewart Publications, vol. 7(3), pages 202-221, April.
  • Handle: RePEc:aza:jfc000:y:2024:v:7:i:3:p:202-221
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    More about this item

    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;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • K2 - Law and Economics - - Regulation and Business Law

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