贷中行为评分

描述：主要应用于银行、证券、保险 等金融行业客户，通过 AI 算法能力，根据用户放贷的表现行为，预测未来的逾期风险概率， 解决再贷客户风险评估、信用卡事中管理风险、贷前不同客群风险定价及贷中不同客群额度授信等问题。天御模型。

Description: This dataset is primarily targeted at customers in financial industries including banking, securities, insurance and other related sectors. It leverages artificial intelligence (AI) algorithms to predict the probability of future overdue risks based on users' loan performance behaviors, and resolves issues such as risk assessment for repeat loan applicants, in-process risk management for credit cards, risk pricing for different customer groups in the pre-loan phase, and credit limit allocation for different customer groups during the loan tenure. Tianyu Model.

搜集汇总

背景与挑战

背景概述

该数据集是用于金融行业的贷中行为评分工具，通过AI算法预测用户逾期风险，解决风险评估和额度授信问题。数据属于信用类，以API接口形式交付，适用于金融专区和仙桃数据谷专区。