International Journal of Science, Engineering and TechnologyAuthors: Imoisili Lucky Oseremen
Abstract: The financial services sector in the United States faces unprecedented challenges in combating sophisticated fraud schemes that evolve with advancing technology. Big data analytics has emerged as a critical weapon in the arsenal against financial fraud, offering banks the capability to process vast amounts of transactional data in real-time and identify suspicious patterns with remarkable accuracy. This article examines the current state of big data analytics implementation in fraud detection and prevention within the U.S. banking sector, analyzing the technologies, methodologies, and outcomes that are reshaping financial security. Through comprehensive analysis of machine learning approaches, real-time processing capabilities, and regulatory compliance frameworks, this study demonstrates how big data analytics is not merely enhancing traditional fraud detection methods but fundamentally transforming the landscape of financial crime prevention
DOI: http://doi.org/10.5281/zenodo.17636866
