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16 December 2023, Saturday

Welcome to Our Series of Webinars - Deep Dives with IIQF Experts

Indian Institute of Quantitative Finance

Fintech Innovation in Quantitative Finance
Date: 16 December 2023, Saturday | Time: 16:00

Program details

Session Focus:

IIQF 2023 Quant Finance and Modelling practitioner’s knowhow session sharing BFSI Quants, Risk and Analytics insights on Fintech use cases, products and solutions in the domain of financial engineering and quant finance. Participants will gain practical insights into Fintech, thriving on cutting-edge quantitative finance ideas for business model based on quantitative models and algos.

Session Topical Coverage
  • Quantitative modelling based products, services and solutions
  • Marketplace for Quant Driven Algorithms
  • Fintech Business Model and Quant Based Strategy
  • Marketplace for Quant Driven Algorithms
  • Quest for Quants in Volatile Times
  • Future Roadmap for Fintech Industry and Quants Professionals


Speaker: Sanjay Bhatia

Sanjay has done his MBA-Finance and MSc in Machine Learning and Artificial Intelligence from Liverpool John Moores University (LJMU) and Post-Graduate Diploma in Machine Learning and Artificial Intelligence from IIIT-Bangalore. He is currently working as a Director with UBS - Risk Modelling and Analytics, Model Risk Management and Control, and Chief Risk Office (CRO) Function.

Sanjay is a Risk Management and Analytics professional with 15 years of mainstay experience in risk models and methodology space encompassing BASEL Advanced AIRB, IFRS-9, IMM and SACCR Exposure, XVA, FRTB, OTC Deri Pricing and other advanced modelling topics. Earlier worked with various foreign banks (Barclays, RBS, Citi, Credit Suisse) and in Risk Consulting.

He is also very passionate about imparting practical model understanding and insights and has been a professional trainer for Corporate and Investment Banks. His areas of interest are Credit and Counterparty Credit Risk, Market Risk, Stress Testing, Stochastic Modelling, Quantitative Finance and Machine Learning.

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