Abstract
Insurance risk is one of the important risks faced by the insurance industry. Effective management of insurance risk is of great significance for preventing systematic risks in the insurance industry and stabilizing the stability of Chinese financial market. Risk management of insurance companies is a technical method to identify, measure and control risks. Its purpose is to directly and effectively promote the realization of organizational goals. Machine learning has a good ability to deal with non-linear classification problems. The risk assessment model based on machine learning can effectively improve the accuracy and applicability of risk assessment. The paper mainly discusses the important role and significance of big data and machine learning as an emerging data analysis method for insurance risk management, and introduces the random forest algorithm and its application in underwriting risk management.
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