Abstract: In recent years, financing guarantee institutions have faced increasing challenges in risk assessment due to significant industry differences among clients, difficulties in evaluating non-financial factors, and limited reliability of financial data. To address these issues, many institutions have begun developing enterprise risk assessment models that integrate qualitative and quantitative evaluation while aligning with their own risk appetite. This paper examines the theoretical foundation, practical framework, and application value of such integrated risk assessment models. Based on the risk characteristics of financing guarantee business, the study proposes a framework combining qualitative judgment with data-driven analysis to enhance risk identification, assessment, and early-warning capabilities across multiple dimensions. In addition, a case study is conducted to verify the effectiveness and practical applicability of the proposed model through analysis of enterprise business characteristics, risk profiles, and data resources. The findings provide practical references for improving risk management in the financing guarantee industry.