SCORING MODEL FOR ASSESSING FINANCIAL CRIME RISKS

Abstract

This research paper presents a comprehensive examination of the methodology for developing and implementing financial scoring models in banking institutions to assess and mitigate financial crime risks. The study provides an in-depth analysis of the theoretical foundations and practical applications of scoring models in the context of Anti-Money Laundering (AML) and Counter-Terrorist Financing (CTF) frameworks within Ukrainian banks. The research begins by establishing key definitions and concepts related to money laundering and terrorist financing, providing a thorough analysis of the current regulatory framework governing financial monitoring in Ukrainian banking institutions. The authors introduce an innovative definition of "financial scoring" specifically tailored to the context of anti-money laundering efforts, expanding upon traditional interpretations to encompass modern challenges in financial crime prevention. A significant contribution of this work is the detailed examination of AML/CFT risk categories and the introduction of a novel category labeled "At the bank's discretion," which allows for greater flexibility in risk assessment procedures. The research article presents a comprehensive gradation of risk criteria by client type, accompanied by a sophisticated point-scoring system that enables precise risk evaluation. The research describes an integrated risk assessment system in the field of AML/CFT, incorporating multiple risk dimensions: client type, geographic location, types of goods and services, and service delivery channels. This multifaceted approach ensures a more nuanced and accurate risk assessment process. The methodology demonstrates particular attention to the dynamic nature of financial crime risks and the need for adaptive scoring models that can respond to emerging threats. The authors emphasize the importance of customizing scoring models to individual financial institutions' specific characteristics and operational contexts. The proposed methodology enables flexible risk assessment and effective client base segmentation, allowing banks to optimize their financial monitoring procedures in alignment with risk-oriented approaches. The research provides practical recommendations for implementing and calibrating scoring models within Ukrainian banking institutions. The paper contributes significantly to the development of more sophisticated tools for combating money laundering and terrorist financing in the Ukrainian banking system, aligning with international standards and best practices. The findings and recommendations presented in this study have important implications for both regulatory compliance and operational efficiency in financial institutions' anti-money laundering efforts.