BIG DATA ANALYTICS IN FINTECH: REVOLUTIONIZING RISK MANAGEMENT AND DECISION-MAKING

Authors

  • Dr. Purushottam Arvind Petare., Mohammad Bdair, Mrs. Nutan Singh , Dr. Karamath Ateeq , Dr R Akila Author

Abstract

In recent years, the intersection of Big Data analytics and financial technology (Fintech) has catalyzed significant transformations in risk management and decision-making processes within the financial sector. This review paper explores the pivotal role of Big Data analytics in reshaping traditional practices, focusing on its implications for risk assessment, mitigation strategies, and enhanced decision-making capabilities. The advent of Big Data technologies has empowered financial institutions to harness vast amounts of structured and unstructured data, enabling more precise risk modeling and predictive analytics. This paper surveys current methodologies and technologies employed in leveraging Big Data for risk management, highlighting their impact on improving accuracy, timeliness, and comprehensiveness of risk assessments. Key technologies such as machine learning algorithms, natural language processing, and data visualization tools are examined for their contributions to identifying, assessing, and managing risks in real-time. Furthermore, the integration of Big Data analytics facilitates a paradigm shift towards proactive risk management strategies, moving away from reactive approaches. Case studies and empirical evidence from leading Fintech companies illustrate the practical applications and benefits of these advancements in mitigating credit, market, operational, and compliance risks. Moreover, the paper discusses the ethical considerations and challenges associated with the adoption of Big Data analytics in Fintech, emphasizing the importance of data privacy, security, and regulatory compliance. The synthesis of Big Data analytics and Fintech presents a transformative opportunity for financial institutions to enhance their risk management frameworks and decision-making processes. By leveraging advanced analytics and emerging technologies, organizations can not only mitigate risks more effectively but also capitalize on new opportunities for innovation and growth in the evolving digital economy.

 

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Published

2024-05-30

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Section

Articles

How to Cite

BIG DATA ANALYTICS IN FINTECH: REVOLUTIONIZING RISK MANAGEMENT AND DECISION-MAKING. (2024). ACTA SCIENTIAE, 7(1), 605-617. http://periodicosulbra.org/index.php/acta/article/view/47