This paper focuses on the construction of college students' credit evaluation system and credit risk management under the background of big data. Firstly, based on the 5C approach, this paper evaluates the personal credit of college students from 5 dimensions and 24 indicators, which finally contribute to the establishment of the credit evaluation system for college students. Then, the partial least squares method is used to build the structural equation model to evaluate the effectiveness of the credit evaluation system for college students. According to the in-depth analysis of PSL-SEM, the factors that affect the credit risk of college students are effectively evaluated, and it has contributed to the establishment and improvement of the credit system of college students. Keywords: Personal Credit, Credit Evaluation, Credit Risk, 5C Approach, PLS-SEM.

The CMW loan-pricing model is established by RAROC (risk adjusted return on capital) with consideration of performance measurement and risk management. The model was presumed interest income as all revenue and credit risk of economic capital the only risk. Model parameters were calculated with large amounts of processed data by cloud computing and internet of things. By donging this, financial institutions determined loan interest rates provided to SMEs (small and medium enterprises) in financing mode of CMW.