Strategic Risk Assessment Models for Anti-Money Laundering Compliance in Financial Institutions
Keywords:
: Strategic Risk Assessment;, Anti-Money Laundering;, Financial Institutions;, Risk-Based Approach;, Enterprise Risk Management;, Regulatory Compliance;, Governance; Financial Crime Prevention.Abstract
Money laundering (ML) remains one of the most significant threats to the integrity, transparency, and stability of modern financial systems. As financial institutions continue to expand their digital services and cross-border operations, the complexity of financial crime has increased substantially, making conventional compliance approaches insufficient for managing emerging risks. Consequently, strategic risk assessment has become a fundamental component of Anti-Money Laundering (AML) compliance by enabling financial institutions to identify, evaluate, prioritize, and mitigate money laundering risks through a structured Risk-Based Approach (RBA). This study investigates the role of strategic risk assessment models in enhancing AML compliance within financial institutions and proposes a comprehensive framework that integrates enterprise risk management, governance principles, and continuous risk monitoring into organizational compliance strategies. A quantitative research methodology was adopted using a structured questionnaire distributed to professionals working in commercial banks, compliance departments, internal auditing, and risk management units. The collected data were analyzed using descriptive statistics, reliability analysis, Pearson correlation, and multiple regression analysis to examine the relationship between strategic risk assessment practices and AML compliance effectiveness. The findings reveal that strategic risk assessment significantly improves customer due diligence, transaction monitoring, regulatory compliance, internal control effectiveness, and institutional decision-making. Furthermore, organizations implementing comprehensive strategic risk assessment models demonstrate greater capability in identifying high-risk customers, allocating compliance resources efficiently, strengthening governance practices, and responding proactively to evolving financial crime threats. The study concludes that integrating strategic risk assessment into Enterprise Risk Management and organizational governance significantly enhances the effectiveness of Anti-Money Laundering programs while improving institutional resilience and long-term regulatory compliance. The proposed framework provides valuable theoretical and practical implications for financial institutions, regulators, and policymakers seeking to strengthen AML compliance through comprehensive strategic risk management practices.
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Copyright (c) 2026 Abdulaziz Oudah Aloudah (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.


The International Journal of Innovative Science and Technology Studies (IJISTS) is an International, Open Access, and Peer-Reviewed Research Journal published by Wenjibra University Press (U.S.) and licensed under the Creative Commons Attribution 4.0 (CC BY 4.0).