Panellists:

Prof Rituparna Sen

Ph.D. in Statistics , University of Chicago, USA

Background

• Associate Professor at the Applied Statistics Division, Indian Statistical Institute, Bangalore.
• She worked as Assistant Professor at the University of California at Davis from 2004–2011.
• She has also taught courses in Chennai Mathematical Institute and Madras School of Economics.
• An elected member of the International Statistical Institute
• A council member of the International Society for Business and Industrial Statistics.
• She has been awarded the Young Statistical Scientist Award by the International Indian Statistical Association, the Best - Student Paper Award by the American Statistical Association and the Women in Mathematical Sciences award by Technical University of Munich, Germany.

ML Expertise (Teaching ML Statistics for Computational Finance)

• Authored A Book on Computational Finance with R
• Authored 30+ Research Papers & Articles
• Editor: Journal of Applied Stochastic Models in Business and Industry
• Member of CAIML (Center for Artificial Intelligence and Machine Learning) at ISI
• Associate Editor of several other journals
• Guided several masters students on theses in the ML area

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.

Ritesh Chandra

Ritesh Chandra (President – Credit Risk Management with a leading private sector bank), PGDM - IIM-Calcutta, B.Tech - IIT-Kanpur, CFA(USA) charter holder.

Ritesh is a seasoned banking professional with 14yrs experience in Risk Management. Passionate about teaching, he has been conducting online sessions for the past 6 years. His areas of interest are – Quantitative Finance, Machine Learning and Blockchain technology. He is a Member of the Board of Studies (in the area of Finance) at IMT-Center of Distance Learning (CDL), Ghaziabad.