NH NongHyup Bank Embarks on Enhancing Data-Driven Corporate Credit Evaluation System

Enhancing Corporate Loan Competitiveness
Through Sophisticated Machine Learning-Based Credit Evaluation Models

NH NongHyup Bank announced on July 29 that it will actively push forward a project to enhance its corporate loan competitiveness by improving its data-driven corporate credit evaluation system.

This project aims to establish a more sophisticated and reliable evaluation system by fully utilizing 2,200 diverse financial and non-financial data points within its proprietary ML Data Mart, based on the performance of the machine learning (ML)-based credit evaluation model introduced last year. The ML Data Mart refers to a system built to store over 2,200 credit evaluation data items used in developing ML-based corporate credit evaluation models, which will also be utilized for future model development and data analysis.

The main improvement tasks include remodeling the non-financial benchmark model, developing a new acquisition finance model, and improving the credit evaluation process. Development will be completed within this year, and each component will be applied to operations in stages. NH NongHyup Bank plans to enhance the project's completeness through close collaboration among related departments, such as credit evaluation and risk management.

Yang Jaeyoung, Deputy President of the Risk Management Division at NH NongHyup Bank, stated, "A sophisticated credit evaluation model is a core competitiveness of the bank," and added, "We will continue to strengthen our risk management capabilities through a data-driven evaluation system going forward."