基于机器学习算法的金融科技平台风险治理

B. Liu, N. Liu
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引用次数: 0

摘要

金融科技是近年来发展起来的新兴领域,在经济社会发展中发挥着举足轻重的作用。金融产品和服务更新加快。与此同时,金融机构面临的风险因素也日益激烈和复杂。本文采用机器学习算法对金瑞科技平台的风险预测与管理进行研究。其目的是通过管理财务风险来减少资金损失。本文主要运用数据分析法、调查法和数据法对机器学习算法和金融科技风险管理进行相关研究。调查结果显示,20%的人认为风险管理非常重要,25%的人认为风险预测非常重要。综上所述,风险管理需要注意风险估计,因此应用机器学习来预测风险数据是一个正确的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Governance of Fintech Platform Based on Machine Learning Algorithm
Fintech is an emerging field that has developed in recent years and plays a pivotal role in economic and social development. The update of financial products and services has accelerated. At the same time, financial institutions are facing increasingly fierce and complex risk factors. This paper uses machine learning algorithms to study the risk prediction and management of Jinrui Technology Platform. The purpose is to reduce the loss of funds through the management of financial risks. This article mainly applied data analysis method, survey method and data method to carry out relevant research on machine learning algorithm and financial technology risk management. The survey results show that 20% of people think that risk management is very important, and 25% think that risk prediction is very important. In summary, risk management needs to pay attention to risk estimation, so applying machine learning to predict risk data is a correct choice.
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