The aim of this study was to design a model for improving bank investment portfolios with an emphasis on risk management processes based on digital banking indicators. This research is applied in nature and follows a qualitative method with a grounded theory approach. Methodological triangulation was employed in this study by using various data collection methods such as literature review, examination of specialized resources and texts, and semi-structured interviews. Based on purposive sampling, 18 managers and experts from Refah Bank were interviewed in 2023. The interviews were coded using ATLAS.TI software. To validate the obtained results, the data were evaluated and analyzed for validity through triangulation. The research findings were categorized into five themes: causal conditions, contextual conditions, intervening conditions, strategies, and outcomes, which were further divided into four categories: individual, group, organizational, and societal. A model was identified comprising six themes and 19 axial codes based on 85 open codes. In designing the model for improving the bank's investment portfolio with an emphasis on risk management processes, the use of digital banking indicators is of great importance. These indicators measure the key concepts related to the bank's performance in various domains and serve as effective tools in improving performance and reducing financial risk. By periodically analyzing the obtained data and continuously reviewing the digital banking indicators, the model should have the ability to predict market changes and adapt to customer needs. This ongoing process aids in the continuous optimization of the portfolio and alignment with various business environment variables, thereby contributing to the preservation and improvement of the bank's investment performance.