Fintech and Data Science: Revolutionizing the Financial Services Industry through Risk Analysis, Stock Management, and Automation

This review paper explores the transformative role of financial technology (fintech) in the financial services industry, encompassing banking, financial services, and market intermediaries like stock exchanges, brokers, and research houses. Fintech, closely intertwined with data science, has redefined traditional processes and reshaped the financial landscape through innovative models. The paper delves into how machine learning, artificial intelligence, and predictive analytics have improved risk assessment, decision-making, and market resilience within the banking sector. By integrating advanced data science techniques, financial institutions have enhanced their ability to predict risks and mitigate market fluctuations, leading to greater overall stability. From algorithmic trading to sentiment analysis, data-driven approaches have introduced a new era of transparency, efficiency, and accessibility in financial markets. The paper also highlights pivotal innovations in fintech, tracing its evolution and impact on stock market dynamics. Ultimately, this review emphasizes how fintech has driven continuous change in the financial services industry, challenging conventional paradigms and fostering a dynamic, data-driven environment for investment and financial decision-making.