Credit scoring

Utilizes data to assess the creditworthiness of a customer.

Implemented functionality includes:

• Development and use of credit scoring models to evaluate the creditworthiness of customers.
• Integration with the bank’s systems to obtain customer data and their financial history.
• Utilization of machine learning for data analysis and risk prediction.
• Implementation of quality control and calibration for scoring models.
• Tools for monitoring and analytics of scoring results and their impact on the business.
• Support for various types of credit products.
• Ability to integrate with other bank systems, such as credit monitoring, anti-fraud, and other risk management tools.