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.

Panelist: Harshit Panchal

Harshit Panchal is a dynamic Data Scientist currently serving as Senior Associate Data Science at NPCI, with extensive experience specializing in Natural Language Processing and Generative AI technologies. He holds a Master`s in Engineering from L.D. College of Engineering and a Bachelor`s degree from AdaniUniversity, providing him with a strong technical foundation. With comprehensive hands-on expertise in LLM fine-tuning, machine translation, OCR applications, and advanced NLP techniques, he has successfully implemented production-grade solutions across multiple industries, combining theoretical knowledge with practical experience to deliver impactful AI solutions and drive technological innovation.