SAS Customer Connection for
Credit Scoring & Decisioning and Model Risk Management

Sheraton Grande Sukhumvit | Bangkok, Thailand
13 September, 2019

A Day in the Life of a Machine Learning Model

The application of AI/ML models in financial services is starting to deliver real business benefit. Efficient model development and deployment, and robust model governance are important for both AI/ML models and traditional models. The use of AI/ML models is an opportunity, a threat, but also a unique challenge.

This event is a unique opportunity for our customers to share experiences and insights with industry practitioners, regulators and SAS R&D.

  • Learn about best practice in credit modelling and decisioning, and model governance.
  • Share insights and network with peers. 
  • Hear customer case studies that you can apply to your day-to-day activities.
  • Provide feedback and ideas on SAS product strategy.
  • Meet one-on-one with SAS product managers and industry leaders.

Your response by August 30, 2019 will be greatly appreciated.

Registration is free and includes conference materials. It does not include air travel, hotel expenses or transportation.

Event Details

  • Date: 13 September 2019, Friday
  • Time: 8.30 AM – 3.30 PM
  • Venue: Sheraton Grande Sukhumvit, 250 Sukhumvit Road, Bangkok 10110, Thailand

Agenda

Friday, 13 September 
8:30 a.m. - 8:50 a.m.
Registration and Coffee
8:50 a.m. - 9:00 a.m.

Welcome Speech and Direction

9:00 a.m. - 09:30 a.m.

Model Risk Management - Perspective of A Malaysian Regional Bank

  • Zihan Ismail, Head of Model Risk Management & Validation, Maybank
09:30 a.m. - 09:50 a.m.

The View of A Regulator

09:30 a.m. – 10:30 a.m.

Power Panel: Bridging the AI Gap, Adding Value Beyond the Hype

  • Moderator: Terisa Roberts, Global Solution Lead – Risk Modelling & Decisioning, SAS
  • Jason Humphrey, Head Of Retail Risk Australia, ANZ Bank
  • Joseph Ha, Sr. Business Solution Manager, SAS Asia Pacific
  • W. Art Chaovalitwongse, PhD, Senior Director, Head of Data Analytics, Bank of Thailand
  • Zihan Ismail, Head of Model Risk Management & Validation, Maybank
10:30 a.m. - 11:00 a.m.

AI/ML: Lessons from Global Experience

  • Naeem Siddiqi, Senior Advisor, Credit Risk Modeling and Decisioning, SAS
11:00 a.m. - 11:30 a.m.

Coffee Break & Super Demos

11:30 a.m. - 12:00 p.m.

Machine Learning – Our Journey

  • Jason Humphrey, Head Of Retail Risk Australia, ANZ Bank
12:00 a.m. - 12:30 p.m.

Machine Learning Governance

  • David Asermely, Global Solution Lead, Model Risk Management, SAS
12:30 p.m. - 13:40 p.m.

Lunch

13:40 p.m. - 14:20 p.m.

Meet Product and Domain Experts

Speakers

Sheraton Grande Sukhumvit
250 Sukhumvit Road
Bangkok 10110 Thailand

Registration

This event is no longer available for registration.

 
*
*
*
*
 
*
 
*
 Machine Learning Governance
 Model Risk Management - Mistakes made and lessons learned
 Unlocking MRM ROI within development, validation, audit, and risk teams
 Outsourcing model validation
 Transforming SME/Corp lending with AI\ML
 Behind Digital Transformation: Alternative data, AI/ML, Operationalization of models and strategies
 Opensource ML Model deployment and maintenance
 Reinventing credit decisioning to improve customer experience
 I am unable to attend the afternoon sessions

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

Back to Top