Online microloans are a growing financial service. Therefore, resolving the question of how to manage the dynamics of an individual borrower’s risk is crucial. By applying an installment-level borrower behavior dataset, we developed a comprehensive two-stage model for assessing borrowers’ delinquency and default risk for each installment of a loan. We also discovered new risk antecedents such as a borrower’s previous repayment behavior and installment due date factors. This study uncovered three segments of borrowers and their corresponding risk levels. Furthermore, the study evaluated the economic benefit of debt collection. The study findings provide a comprehensive model for evaluating borrowers’ delinquency and risk at the individual and segment levels over time.

在线小额贷款是一项不断发展的金融服务。因此，解决如何管理个体借款人风险动态的问题至关重要。通过应用分期付款借款人行为数据集，我们开发了一个全面的两阶段模型，用于评估借款人每期贷款的拖欠和违约风险。我们还发现了新的风险因素，例如借款人之前的还款行为和分期付款到期日因素。这项研究揭示了借款人的三部分及其相应的风险水平。此外，该研究还评估了追收债务的经济效益。研究结果提供了一个全面的模型，用于评估借款人随时间推移在个人和部门层面的拖欠情况和风险。