Knowledge management plays a crucial role in Fintech risk management, enabling financial institutions and regulatory bodies to navigate emerging challenges in an increasingly digitalized financial ecosystem. As financial technology continues to disrupt traditional financial services, the ability to systematically acquire, organize, and apply knowledge is essential for mitigating risks associated with cybersecurity threats, regulatory compliance, fraud detection, and operational inefficiencies. This study presents a bibliometric analysis of recent literature, identifying key trends, methodologies, and research gaps in Fintech risk management through the lens of Knowledge Management. By synthesizing scholarly sources, the paper highlights how theoretical underpinnings, methodological approaches, and contextual applications contribute to knowledge creation, organization, sharing, and application in this domain. Additionally, the study evaluates how Fintech firms integrate artificial intelligence, blockchain, and big data analytics within Knowledge Management frameworks to enhance risk management effectiveness. Moreover, the research emphasizes the need for empirical studies that validate risk mitigation measures and explores how regulatory bodies can foster a knowledge-driven approach to financial risk management. The findings offer future research directions that aim to strengthen Knowledge Management strategies in Fintech, ensuring continuous learning, adaptation, and resilience in financial ecosystems.