A Study on the Application of Big Data in Credit Risk Management

Shuning Cao

2024

Abstract

Credit in the modern economy has a vital role. In today's increasingly complex financial markets, the problems of traditional manual credit scoring in credit risk assessment have become more prominent. The emergence of big data technology, on the other hand, has enabled some financial institutions to discover its potential value. This paper analyzes the value of applying big data in credit risk management and the challenges that need to be faced. Therefore, this paper aims to analyze the value of the application of big data in credit risk management and the challenges that need to be faced. For current credit risk problems, big data technology can produce corresponding countermeasures to effectively reduce credit risk. At the same time, the application of big data in credit risk management is also characterized by the risks and challenges of privacy leakage, lack of talent, and dominance of traditional credit thinking. Comprehensively speaking, there is great value in applying big data to credit risk management. The technology can provide effective solutions to the current problems, and it can also provide some reference for other risk management research.

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Paper Citation


in Harvard Style

Cao S. (2024). A Study on the Application of Big Data in Credit Risk Management. In Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI; ISBN 978-989-758-726-9, SciTePress, pages 19-26. DOI: 10.5220/0013205300004568


in Bibtex Style

@conference{ecai24,
author={Shuning Cao},
title={A Study on the Application of Big Data in Credit Risk Management},
booktitle={Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI},
year={2024},
pages={19-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013205300004568},
isbn={978-989-758-726-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI
TI - A Study on the Application of Big Data in Credit Risk Management
SN - 978-989-758-726-9
AU - Cao S.
PY - 2024
SP - 19
EP - 26
DO - 10.5220/0013205300004568
PB - SciTePress