The aim of this research is to present a talent management model in the Iranian banking system with an emphasis on Iranian state-owned banks. This research is applied in terms of its purpose, mixed data type (qualitative-quantitative) with an exploratory approach, pragmatic paradigm in terms of its nature, and descriptive-analytical survey-correlational in terms of its qualitative part. The statistical population of the qualitative part includes 20 theoretical experts (university professors) and empirical experts (relevant banking industry officials) and was selected using purposive sampling. The statistical population of the quantitative part includes all banking industry managers who were selected using the minimum sample size calculation method in confirmatory factor analysis and stratified random sampling method. The data collection method in the qualitative part is content analysis of interviews and in the quantitative part is researcher-made questionnaires. The data analysis method in the qualitative part includes thematic analysis with Maxqda-V18 software and in the quantitative part includes descriptive and statistical analysis (confirmatory factor analysis and one-sample t-test) of the data with spss-V27 and SmartPls-V3 software. The results showed that talent management in private and public banks includes recruitment and hiring, training and development, performance and evaluation, retention and motivation, and organizational culture. Also, in the comparative comparison, the results showed that all components of the model in public and private banks are different. Also, the validation results showed that the presented model has sufficient validity and the banking industry can use this model for career promotion and talent development.