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Machine learning for anomaly detection in money services business outlets using data by geolocation

Author

Listed:
  • Vincent Lee Wai Seng
  • Shariff Abu Bakar Sarip Abidinsa

Abstract

Since 2017, licensed money services business (MSB) operators in Malaysia report transactional data to the Central Bank of Malaysia on a monthly basis. The data allow supervisors to conduct off-site monitoring on the MSB industry; however, due to the increasing size of data and large population of the operators, supervisors face resource challenges to timely identify higher risk patterns, especially at the outlet level of the MSB. The paper proposes a weakly-supervised machine learning approach to detect anomalies in the MSB outlets on a periodic basis by combining transactional data with outlet information, including geolocation-related data. The test results highlight the benefits of machine learning techniques in facilitating supervisors to focus their resources on MSB outlets with abnormal behaviours in a targeted location.

Suggested Citation

  • Vincent Lee Wai Seng & Shariff Abu Bakar Sarip Abidinsa, 2024. "Machine learning for anomaly detection in money services business outlets using data by geolocation," IFC Working Papers 23, Bank for International Settlements.
    • Handle: RePEc:bis:bisiwp:23
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    More about this item

    Keywords

    suptech; money services business transactional data; outlet geolocation; machine learning; supervision on money services business;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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