Authors :
Sandun Jayathilake
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/ba4ujxja
DOI :
https://doi.org/10.5281/zenodo.8158656
Abstract :
This article shows how data science is altering
different parts of the financial sector, including as
regulatory compliance, risk management, consumer
experiences, and decision-making processes. According to
researchers, data science benefits the fintech business by
enabling precise risk appraisal and mitigation, fraud
detection and prevention, trading strategy improvement,
tailored services, automated compliance processes, and
easy-to-access financial advice. This information was
gleaned through a thorough review of industry statistics,
case studies, and scholarly literature. Customer
happiness, improved financial outcomes, and enhanced
operational efficiency have all contributed to a growth in
the use of data-driven approaches.
Keywords :
Data Science, Finance Industry, Risk Assessment, Fraud Detection, Trading Strategies, Customer Analytics, Regulatory Compliance.
This article shows how data science is altering
different parts of the financial sector, including as
regulatory compliance, risk management, consumer
experiences, and decision-making processes. According to
researchers, data science benefits the fintech business by
enabling precise risk appraisal and mitigation, fraud
detection and prevention, trading strategy improvement,
tailored services, automated compliance processes, and
easy-to-access financial advice. This information was
gleaned through a thorough review of industry statistics,
case studies, and scholarly literature. Customer
happiness, improved financial outcomes, and enhanced
operational efficiency have all contributed to a growth in
the use of data-driven approaches.
Keywords :
Data Science, Finance Industry, Risk Assessment, Fraud Detection, Trading Strategies, Customer Analytics, Regulatory Compliance.
