How to Utilize Bank Statements as a New Credit Scoring Method

Shivhare, Tanmay (2024) How to Utilize Bank Statements as a New Credit Scoring Method. Masters thesis, Dublin, National College of Ireland.

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Abstract

Traditional credit scoring models like FICO, VantageScore, and CIBIL rely heavily on historical credit data, which limits their applicability for individuals with limited or no credit history, such as first-time borrowers or the unbanked population. This creates barriers to financial inclusion, especially in emerging economies. With the rise of digital banking and payment ecosystems like UPI in India, analyzing bank statements offers a compelling alternative for credit assessment. This approach leverages transactional data to provide a more nuanced and real-time evaluation of an individual’s financial behavior, such as spending patterns, savings habits, income consistency, and recurring obligations. Bank statement analysis addresses the gaps left by traditional models by using dynamic data sources that reflect ongoing financial activity. By integrating artificial intelligence and machine learning techniques, this method can assess creditworthiness comprehensively and inclusively, paving the way for more equitable access to credit. This paper explores the potential of bank statement analysis as a robust and scalable alternative to traditional credit scoring, highlighting its implications for financial institutions and borrowers alike.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Anu UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HG Finance > Banking H Social Sciences > HG Finance > Credit. Debt. Loans. Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	05 Sep 2025 10:39
Last Modified:	05 Sep 2025 10:39
URI:	https://norma.ncirl.ie/id/eprint/8814

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