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  5. Careers in Derivative Pricing, Valuation & Risk Modelling Using AI - Pathways, Skills and Strategy
Welcome to Our Series of Webinars - Deep Dives with IIQF Experts
Careers in Derivative Pricing, Valuation & Risk Modelling Using AI - Pathways, Skills and Strategy
Date: 20 June 2026, Saturday | Time: 11:30
Careers in Derivative Pricing, Valuation & Risk Modelling Using AI - Pathways, Skills and Strategy
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About the Session

Tune into IIQF 2026 BFSI deep dive practitioner webinar session on Derivative Pricing & Valuation using Artificial Intelligence (AI) & Machine Learning (ML) sharing insights into below focus topics of specialized interests -

Coverage of the Session
  • FINTECH AI & ML led Derivative Pricing Risk Analytics & Modelling trends
  • AI & ML career roles & pathways for Derivative Trading, Pricing & Valuation professionals
  • AI & ML in-demand skills & core competency requirements for derivative trading, pricing valuation & counterparty credit risk profiles
  • Professional career growth strategies leveraging AI & ML in derivative trading, pricing valuation, & counterparty credit risk profiles
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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