Welcome to Our Series of Webinars - Deep Dives with IIQF Experts
Indian Institute of Quantitative Finance
Program details
Session Focus:
"With commerce comes fraud" - Airbnb cofounder Nathan Blecharczyk
US Federal Trade Commission data show that consumers reported losing more than $10 billion to fraud in 2023 – an all-time high and a 14% increase over losses reported in 2022.
Fraud is not new. However, social media, internet-based commerce and digital banking have significantly changed the way fraudsters target victims along with exponential increase in the pool of potential victims.
In response to the increasing menace of online fraud, fraud prevention has increased in sophistication as well. Traditional rules – based engines have been supplemented by machine learning for spotting patterns.
This webinar addresses the key aspects of using machine learning / artificial intelligence for fraud detection / prevention.
Session Coverage:
- Classical approach for fraud prevention
- Advantages of data-driven fraud prevention
- ML techniques for fraud prevention
- Challenges of ML in fraud prevention
- Required skills for fraud-prevention data scientists
Speaker:Ritesh Chandra
Ritesh is a seasoned banker with over 14 years of experience in credit and risk management and currently works as President of a leading private sector bank. Prior to that, he was in IT consulting and had worked in a variety of roles in India, China and Canada. Passionate about teaching, he has been conducting workshops and training programs for the last 6 years. His areas of interest are credit risk, quantitative finance and statistical learning. Ritesh is a PGDM from IIM Calcutta and B.Tech. from IIT Kanpur. He is also a Member of the Board of Studies (in the area of Finance Management) at IMT-CDL, Ghaziabad.
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