Welcome to Our Series of Webinars - Deep Dives with IIQF Experts
Indian Institute of Quantitative Finance
Program details
Session Focus:
Tune into IIQF 2024 BFSI quants practitioner’s know-how series sharing insights into Deep Learning application use cases and research topics for quantitative finance, risk modelling and analytics. Participants would gain practical coverage of how Deep Learning based models are paving the way to solve high-dimensional & big data modelling problems.
Session Topical Coverage:
- ML driven Deep Learning model architectures & features
- Deep Learning use cases for Front-Office, Risk, Finance, Treasury & Compliance
- Deep Learning innovations & novel research areas
- Deep Learning based Fintech revolution
- Deep Learning complexity & challenges
Speaker: 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.
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