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Fraud Detection and Risk Management in Internet Finance

Author

Listed:
  • Qingqing Ren

    (Goldman Sachs & Co. LLC, USA)

  • Hualing Liu

    (Shanghai University of International Business and Economics, China)

Abstract

This book focuses on the development of an anti-fraud model designed to detect both individual and group fraud in the internet finance sector. It further proposes a comprehensive risk control system tailored for online credit platforms, aiming to enhance the industry's overall risk management capabilities. Centered around two core themes: credit scoring and fraud detection, the book utilizes advanced algorithms including machine learning, deep learning, and graphical models to study patterns of financial fraud online.

Suggested Citation

  • Qingqing Ren & Hualing Liu, 2026. "Fraud Detection and Risk Management in Internet Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 14457, May.
    • Handle: RePEc:wsi:wsbook:14457
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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/14457
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    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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