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03 September 2023, Sunday

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

Indian Institute of Quantitative Finance

Machine Learning for Financial Engineering Interview Preparation (Masterclass)
Date: 03 September 2023, Sunday | Time: 11:30

Program details

IIQF is continuing with its concerted efforts to create awareness on changing BFSI landscape with the fast-paced adoption of Artificial Intelligence (AI), Machine Learning (ML) & Data Science (DS).

Our success with conducting long streak of focussed sessions delivered by our empanelled BFSI industry experts and renowned academic researchers led us to start with a new series on - BFSI Machine Learning Skill Navigator. Participants are requested to pre-register to get the most out of these free value additive sessions, so register early before its house full.

Session 2 Focus:

This session is intended to have a role play demonstration of an actual interview for candidates aspiring for machine learning and data science BFSI career roles in the field of Financial Engineering and Derivative Pricing.

Session 2 Coverage:

This session is custom-designed to cover both the content on expected core competencies and skill demonstration for a potential hiring scenario

  • ML financial engineering and derivative pricing application use-case awareness
  • ML financial engineering case studies used for candidate evaluation
  • Mock up interview - a live demo on interviewer and candidate role play to showcase real-life interviewing style and structure
  • Candidate evaluation metrics and hiring considerations

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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