THE ROLE OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN CREDIT RISK MANAGEMENT THROUGH FINTECH INNOVATIONS

Authors

  • Xayitbayev Maqsadbek Mutallib o‘g‘li Banking and Finance Academy of the Republic of Uzbekistan Master of Business Administration (MBA) Finance and Financial technologies

DOI:

https://doi.org/10.55640/

Keywords:

Keywords: credit risk, Big Data, Artificial Intelligence, machine learning, scoring, digital transformation, loan portfolio, algorithm.

Abstract

Abstract. This article analyzes the role of Big Data and Artificial Intelligence (AI) in credit risk management within the framework of modern FinTech innovations. It examines the impact of digital technologies on credit scoring and decision-making processes. The paper highlights the advantages of transitioning from traditional methods to machine learning models, addresses data quality challenges, and explores ways to enhance risk forecasting efficiency. Finally, practical recommendations are developed for improving credit portfolio quality and minimizing operational risks by implementing AI algorithms in the banking system to ensure sustainability in the digital era.

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References

1.Law of the Republic of Uzbekistan. (2019). On Banks and Banking Activity. No. LRU-580.

2.Abdullaeva, Sh. (2014). Bank Risklari (Banking Risks). Tashkent: “Iqtisod-Moliya”.

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4.Basel Committee. (2018). Sound Practices: Implications of fintech developments for banks and bank supervisors. Bank for International Settlements.

5.Dermine, J. (2017). Digital Banking and Market Disruption. INSEAD Working Paper.

6.Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems.

7.McKinsey Global Institute. (2023). The financial functions of AI: Credit risk management. Industry Report.

8.Sahay, R., et al. (2020). The Promise of Fintech: Financial Inclusion in the Post-COVID-19 Era. IMF Departmental Papers.

9.Varian, H. R. (2014). Big Data: New Tricks for Econometrics. Journal of Economic Perspectives.

10.Zhang, Z., et al. (2020). A Deep Learning Framework for Financial Time Series Forecasting. IEEE Access.

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Published

2026-06-11

Issue

Vol. 5 No. 6 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

THE ROLE OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN CREDIT RISK MANAGEMENT THROUGH FINTECH INNOVATIONS. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(6), 831-834. https://doi.org/10.55640/

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