Statistics and machine learning algorithms are combined for large numbers. According to analysis modeling is an integrated analysis method, widely used in Internet, finance. Data analysis scenarios are the focus of current analysis modeling methodology. This paper presents an analysis that fuses statistical and machine learning models, and the big data statistical analysis modeling method is applied to financial data. Analysis. We analyzed real financial lending data, and the experimental results show that in King. Application of stochastic forest algorithm in statistical machine learning in default analysis of loans and loans. If the random forest algorithm is used to rank the importance of features, it can be obtained. To the characteristics that have a greater impact on the final default, so that it can be carried out more effectively. Lending risk judgment in the financial field.