Risk Executive Experience

     October 21, 2019

During this invitation only half-day Executive Experience, financial institutions from different countries across EMEA will focus on the latest strategies and insights into the issues affecting the risk analytics world today.

  • Meet 80+ executives in Risk
  • Learn how their organizations are working with SAS to achieve excellence in risk management powered by predictive analytics and machine learning
  • Understand what is driving their agendas and hear their strategies for the future, with specific focus on best practices and recent regulation changes like IFRS9, Basel IV, Stress Testing, Model Risk Management and how the future of regulation will impact the banking industry.
  • Share insights and connect with peers

This session will take place on Monday October 21 at the MiCo conference center in Milan. On arrival at the MiCo, collect your conference badge before making your way to the 2nd floor where the sessions will take place in the ‘Amber’ and ‘Brown’ rooms. Follow the signs at the venue for directions to these rooms.  

Agenda

TimeSession
12:00 - 13.30Registration and networking lunch
13:30 - 14:30

Welcome and Introduction
Renzo Traversini, Senior Director Risk Business Consulting, Risk Research and Quantitative Solutions Division, SAS

Fireside Chat "Managing Risk and Responsible Growth”
Antonio Carreira, Head of Credit Risk, Millennium BCP
Anselmo Marmonti, Senior Director, Head of Risk Business Consulting, Risk Research and Quantitative Solutions, SAS

14:30 - 15:15

Risk Strategy and Product Roadmap
Martim Rocha, Director, Global Head of Risk Banking Solutions, Risk Research and Quantitative Solutions Division, SAS

15:15 - 15:45Coffee and networking break  
15:45 - 17:45 Breakout interactive sessions
 Model Risk Management | Credit Scoring | AI in Risk
SAS Hosts:
Terisa Roberts, Global Solution Lead, Risk Modelling & Decisioning, Risk Research and Quantitative Solutions Division, SAS
David Asermely, Global Solution Lead, Model Risk Management, Risk Research and Quantitative Solutions Division, SAS
IFRS 9 & Stress Testing | ALM | Regulatory Risk
SAS Hosts:
Martim Rocha - Director, Global Head of Risk Banking Solutions, Risk Research and Quantitative Solutions Division, SAS
Luis Jesus - Global Solution Lead, Regulatory Capital Management, Risk Research and Quantitative Solutions Division, SAS
15:45 - 16:15Building a decisioning ecosystem with SAS
Igor Demidov, Head of streaming data analysis systems division, Gazprombank
The future of regulation
Luís Filipe Barbosa, Leader of European Risk Modelling & RWA initiative, PwC Portugal
16:15 - 16:45Model Risk Management: Back to basics
Alex Oleinikov, Head of MRM, Danske Bank
A Credit Risk journey: new frontiers for RWA calculation
Alberto Storace, Managing Director, Digital lead for the Accenture Risk Analytics Center of Excellence, Accenture
Alida Popescu, Business Solution Manager, South EMEA Risk Practice, SAS
16:45 - 17:15Model Risk Management and Corporate Governance of Models
Boaz Galinson, Credit Risk Management, Leumi Bank
Panel on Lessons Learned and Trends:
Martim Rocha,  Director, Global Head of Risk Banking Solutions, Risk Research and Quantitative Solutions Division, SAS

Road to integrated ALM & CAD management
Michał Litwin - ALM Manager, Euro Bank S.A. David Curtis, Chief Credit Officer, Permanent TSB  
17:15 - 17:45 Machine Learning to Boost Digital Transformation in Credit Risk Modelling
Filippo Finocchiaro, Risk Advisory, Deloitte
Stress Testing & Balance Sheet Forecasting
Artem Danko, Associate Partner, Financial Risk Management at KPMG Advisory  
17:45 - 18:00Closing remarks
18:30 - 19:00Transfer to restaurant
19:30Dinner & Networking
Mi View restaurant – via Achille Papa, 30, Milano
23:00Return transfer to the hotels

How to register

The Risk Executive Experience session at Analytics Experience 2019 is now full. It is no longer possible to register.
If you would like to be contacted about future SAS events, please send an email to Executivex2019@sas.com outlining your preferred subject area.

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