免押租赁作为IT设备租赁的关键要素，其信用风险管理不可或缺。2021-2022年，在新冠疫情不断发生的情况下，我国 IT设备免押租赁行业的总体发展遇到了很大的困难，而且在宏观经济下滑的情况下，行业的增速也受到了一定程度的减缓，这就导致了在后疫情时代，租赁资产的信用风险管理仍然是银行业界公司经营和管理目标中的一个重要方面。这将极大地影响到 IT装备出租企业的商业模型的效率和成长速率。

本论文的研究主体 Y公司是 IT设备免押租赁领域中处于领先地位的一家企业，2014年成立后开展IT设备的免押租赁业务，2021年的预估收入我11.97亿元。本文以Y公司信用风险管理体系的建设为研究对象，以信用风险管理理论、信息不对称理论等为基础，运用了案例研究法、比较分析法等，梳理现行的信用风险管理体系，发现其存在信用风险识别精确度不高，信用风险评估机制不完善，信用风险监测能力不足，及信用风险处置标尺不统一的问题。针对Y公司存在的问题，从风险识别与评估、风险监测、风险控制三个方面着手，分析出其问题产生的原因主要为数据获取渠道单一，内部专家评估的依赖性较高，风险决策模型不健全，以及尚未形成全周期信用风险管理的理念。因此结合Y公司的业务需求与金融科技，分别在风险识别与评估、风险监测、及风险控制方面，建议扩大数据获得的途径，建立起客户信用评价指标体系，对租中信用风险动态监测进行改进，对风险预警体系进行完善，对客户准入标准进行严格的要求，对租赁设备的管理进行进一步的改进。

本文的研究意义是：将租前、租中、租后贯穿起来，以信号传递理论为基础，来减少信息不对称，从而可以更好的提高公司内部全周期信用风险管理能力，从而降低信用风险管理成本，提高资产质量。这是 Y公司在后疫情时代，在行业内实现自我发展的重要一环，也是同行业内其它企业要继续进行的一项重要工作。

As a key element of IT equipment leasing, the credit risk management is indispensable. In 2021-2022, in the face of the repeated COVID-19 epidemic, the overall development of the domestic IT equipment no-pledge leasing industry faces huge challenges, and the industry growth slows down due to the impact of the macroeconomic downturn, making the credit risk management of leased assets still the focus of the operation and management objectives of companies in the industry even after the epidemic period. This can greatly affect the business model effectiveness and development speed of an IT equipment leasing company.

For Y Company, the research object of this paper, is a leading enterprise in the IT equipment no-pledge leasing industry. After its establishment in 2014, it has carried out the IT equipment no-pledge leasing business, with an estimated revenue of 1.197 billion yuan in 2021. This paper takes the construction of Y Company's credit risk management system as the research object, based on credit risk management theory and information asymmetry theory, and uses case study method and comparative analysis method to review the current credit risk management system. It finds that the credit risk identification accuracy is not high, the credit risk assessment mechanism is not perfect, and the credit risk monitoring ability is insufficient. In view of the existing problems of Y Company, from the three aspects of risk identification and evaluation, risk monitoring and risk control, it is analyzed that the main causes of the problems are single data acquisition channels, high dependence of internal expert evaluation, unsound risk decision-making model, and the concept of full-cycle credit risk management has not been formed. Therefore, combined with Y Company's business needs and fintech, it proposes to expand data acquisition channels, construct customer credit evaluation index system, improve the dynamic monitoring of credit risk in leasing, improve the risk pre-warning system, strictly implement customer access standards, improve the management of leased equipment and other risk control measures.

It is significant to decrease the asymmetric information by means of pre rental, middle rental and post rental, so as to enhance the inner full circulation of credit risk, decrease the cost of managing credit risk, and enhance the quality of the assets. It is an important step in developing and improving your business in this field, and it is also an important part of further exploration and practice for other businesses in this field.