• Harshda Bavale
• Apurva Pandhare
• H.R. Kulkarni
• Nikhil Gupta

This paper examines the application of Artificial Intelligence (AI) techniques within the financial services industry, focusing specifically on three major domains: fraud detection, risk management, and algorithmic trading. It reviews the current state of the literature, outlines the methodology for an empirical study (classification modelling) of fraud detection, presents results including a classification report, discusses key findings and their implications, and highlights limitations and future research directions. The findings suggest that AI offers substantial benefits in terms of speed, accuracy, and adaptability across financial functions, but challenges remain regarding data quality, interpretability, regulatory compliance, and ethical concerns.

Artificial Intelligence in Financial Services: Fraud Detection, Risk Management and Algorithmic Trading

"Artificial Intelligence in Financial Services: Fraud Detection, Risk Management and Algorithmic Trading", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.157-173, January-2026, Available :http://www.jetir.org/papers/JETIRHG06016.pdf

"Artificial Intelligence in Financial Services: Fraud Detection, Risk Management and Algorithmic Trading", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. pp157-173, January-2026, Available at : http://www.jetir.org/papers/JETIRHG06016.pdf