Welcome to Our Series of Webinars - Deep Dives with IIQF Experts
Indian Institute of Quantitative Finance
Program details
Session Focus:
Generative AI, powered by advanced machine learning models is revolutionizing the BFSI sector through large scale adoption of automated, adaptive & autonomous service delivery capabilitites. Gen AI is reshaping the future of finance with the interactive customer engagement and intelligent financial advisory chatbots. Despite all, the market awareness is still lacking on the know-why & know-how on Generative AI potential rewards, risks & regulatory implications.
Join us as we unravel the promising future of "Generative AI for Banking and Finance". Stay tuned to our upcoming insightful panel discussion with industry leaders to unpack and uncover more on this crucial topic..
Session Coverage:
- Evolution of AI in Finance
- Core Tools of Generative AI
- Use of NLP based Large Language Models in Gen AI
- Types of GenAI models
- Use cases in Banking sector
- Benefits and Risks
Panelists
Panelist: Sanjay Bhatia
Sanjay has done his MBA-Finance & MSc in Machine Learning & Artificial Intelligence from Liverpool John Moores University (LJMU) and Post-Graduate Diploma in Machine Learning & Artificial Intelligence from IIIT-Bangalore. He is currently working as a Director with UBS - Risk Modelling & Analytics, Model Risk Management & Control, and Chief Risk Office (CRO) Function.
Sanjay is a Risk Management & Analytics professional with 15 years of mainstay experience in risk models & methodology space encompassing BASEL Advanced AIRB, IFRS-9, IMM & SACCR Exposure, XVA, FRTB, OTC Deri Pricing & other advanced modelling topics. Previously worked with various foreign banks (Barclays, RBS, Citi, Credit Suisse) and in Risk Consulting.
He is also very passionate about imparting practical model understanding & insights and has been a professional trainer for Corporate & Investment Banks. His areas of interest are Credit & Counterparty Credit Risk, Market Risk, Stress Testing, Stochastic Modelling, Quantitative Finance and Machine Learning.
Panelist: 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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