Financial risk assessment system based on big data analysis

The invention provides a financial risk assessment system based on big data analysis, which comprises a data acquisition and storage module, a feature extraction module, a model training module and a risk assessment module, the feature extraction module is used for extracting feature indexes from historical data, the model training module is used for carrying out optimization training on an evaluation model, and the risk evaluation module carries out risk evaluation on financial products based on the evaluation model; according to the system, the model is trained, so that two types of data in historical data can obtain obviously differentiated result data after being processed by the model, and then a high-accuracy evaluation conclusion is obtained based on the model, so that investors are helped to better invest. 本发明提供了一种基于大数据分析的金融风险评估系统，包括数据采集存储模块、特征提取模块、模型训练模块和风险评估模块，所述数据采集存储模块用于采集金融产品的历史交易数据并保存，所述特征提取模块用于从历史数据中提取出特征指标，所述模型训练模块用于对评估模型进行优化训练，所述风险评估模块基于评估模型对金融产品进行风险评估；本系统通过对模型进行训练，使得历史数据中的两类数据在通过模型处理后能够得到分化明