China Beijing skyline

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

Grand Millennium Beijing Hotel,China
September 18, 2019

Reserve Your Seat

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 September 10 , 2019 will be greatly appreciated.

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

Agenda

Wednesday, Sept 18th 
08:30 - 08:50     Registration and coffee
08:50 - 09:00     
Welcome speech and direction
Wilson Ho,
Vice President & Managing Director of Greater China, SAS
09:00 - 09:30   A Vision for 2025, the Future of Financial Services
Paul Ip,
CRO, Welab Ltd
09:30 – 09:50The View of A Regulator
Bonny Fu,
Advisory – Actuarial And Risk Management Services, Partner of EY
09:50 - 10:30  Power Panel:  Bridging the AI Gap, Adding Value Beyond the Hype

Moderator: Terisa Roberts, Global Solution Lead – Risk Modelling & Decisioning, SAS
Panelists:
  • Karen Bosma, Head of Risk Modelling, ANZ Bank
  • Chris Wang, Partner of Risk Management, KPMG Advisory (China) Ltd
  • Naeem Siddiqi, Senior Advisor, Credit Risk Modeling and Decisioning, SAS
10:30 - 11:00 Getting the Most from Alternative Data
Naeem Siddiqi,
Senior Advisor, Credit Risk Modeling and Decisioning, SAS
11:00 - 11:30Coffee break & Super Demos
11:30 - 12:00  Machine Learning – Our Journey
Karen Bosma, Head of Risk Modelling, ANZ Bank
12:00 - 12:30 
Machine Learning Governance
David Asermely,Global Solution Lead, Model Risk Management, SAS
12:30 - 13:40Lunch
Afternoon

Meet Product and Domain Experts

Speakers

Chirs Wang

Chris Wang
Partner of Risk Management, KPMG Advisory (China) Ltd

David Asermely

David Asermely
Global Solution Lead, Model Risk Management, SAS

Karen Bosma

Karen Bosma
Head of Risk Modelling, ANZ Bank

Naeem Siddiqi

Naeem Siddiqi
Senior Advisor, Credit Risk Modeling and Decisioning, SAS

Paul Ip

Paul Ip
CRO, Welab Ltd

terisa-roberts

Terisa Roberts
Global Solution Lead, Risk Modelling & Decisioning, SAS

Wilson Ho

Wilson Ho
Vice President & Managing Director of Greater China, SAS

Registration

This event is no longer available for registration.

 
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 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
 
  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.
 
 

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