Available On-Demand

Join us for SAS Risk Week, and embark on a journey filled with new learnings. This virtual event will explore some of the innovative steps taken by groundbreaking companies to overcome recent circumstances and how they are leveraging analytics to plan their decisions for the near future. We'll also discuss how these companies leveraged these innovations in risk management.

Register and learn how to: (1) increase accuracy of your models, (2) leverage simulations to mitigate risks and financial losses, and (3) optimize your journey to regulatory compliance.

Crammed with key insights delivered by 15 speakers over 3 days.


Risk Analytics and MRM

  • Advanced analytics can help organizations of all sizes innovate, thrive and compete in the new digital world.
  • Finding and attracting the right customer and making the right offer can be enhanced -
    • Analytic capabilities allow you to gain insights from your own data, and use your superior knowledge of your customers and market to make better decisions – cheaper, faster and more flexibly than any outsourcing alternative.
    • In a Cloud enabled world, short cycles to analyze, build and deploy models in to production means rapid ROI.
    • SAS has enabled banks of all sizes to better compete in the market by providing them with the ability to access sophisticated analytics, including Machine Learning, and deploy models and decisions quickly.

Scenario-Based Management and CECL

Why should you care about Scenario-Based Management? 

  1. The relevance of Scenario-Based Management, beyond risk management, and how it can be used for commercial and managerial purposes.

 Applications include targeting and maximizing ROI by leveraging a wide range of economic and market scenarios. CECL beyond compliance. 

  1. How can smaller banks leverage their CECL framework and data for managerial purposes, while still meeting the deadline for January 2023.
  2. The benefits of a white-box approach to better manage your allowance for credit losses at a lower price point.


  • How ML with automated real time decisioning can drastically improve the premium calculation process and help bring in more customers
    • ML can offer much better insights than deterministic models to identify different clusters of customers´ behavior and accurately calculate the risk premium and offer a competitive insurance policy in real time.
  • LDTI beyond meeting the regulation.
    • How can insurance companies leverage their LDTI infrastructure and data for managerial purposes and still meet their compliance deadlines.
    • How to simulate cashflows and integrate with GL.  One stop shop reduces risk.

Meet our experts

Naeem Siddiqi
Senior Advisor, Risk and Quantitative Solutions at SAS

Renato Fiorini
LATAM and SMB Head of Risk Management Solutions at SAS

Sumit Chattopadhyay
North America Head, Risk & Finance Advisory at SAS

Martim Rocha
Global Director, Risk Business Consulting at SAS


Frank Caruso
Senior Risk Analytical Consultant at SAS


Seth Lester
Senior Industry Consultant at SAS


David Kim
Lead Solutions Architect at SAS

Stefan De Lombaert
Global Lead Insurance Risk & Finance Solutions at SAS

Jason Hiquet
Senior Manager at Deloitte Consulting

Walid Gouadria
Senior Manager | Digital Business Integration at Accenture

John Lester
Partner at Oliver Wyman

Jonathan Leonardelli
Director of Business Analytics at FRG

James Oche
Director, Model Risk Management DTCC.

Ian Sterling, FCAS, MAAA
Managing Director at KPMG

Jeremy Williams
Senior Vice President, Valuation
at CNO Financial Group

Mahdi Amri
Partner at EY

Meet our partners

Keep in touch