Enterprise Model Risk Management

Join us for our popular course on Enterprise Model Risk Management. This online course will guide you and your team through the key concepts required for a robust Model Risk Management program.

Presented by:
Peter Plochan
Principal Risk Management Advisor
SAS Institute

Session Length:
5 Lessons, 90 minutes each weekly

Course Period: September 27 - October 31, 2022
Lessons Launch: 
Each Tuesday
Instructor Access: 
September 27 - November 7, 2022

Self-paced, 90-day course access


About This Course
Financial institutions have been relying on models to support their decision-making for decades; therefore, managing the life cycle of models and model risk management are not new topics.  In recent times, however, the discipline of model risk management has become more formalized and rigorous, partly as a response to the increasing regulatory scrutiny being applied to their models, with US and European banking regulators leading the charge. Lastly the recent turbulent and volatile time have put the models and model governance process under pressure.  

On the other hand, the recent industry and technology developments in the Artificial Intelligence and digitalization areas push banks to build new models and more complex ones in order to streamline and automate their decisions. Covid 19 and Climate change expose financial institutions and their models build on traditional historical data to new challenges. All this requires companies to put an extra compliance and governance effort into management of their models and of the model risk embedded there.

In order to address the above, financial institutions around the world are increasingly looking for skilled Model Risk Management professionals to tackle these challenges. Enterprise Model Risk Management function is no longer a nice to have, it is a must. Managing model risk requires a broader perspective and should not rely solely on Model Validation activities, which is the more traditional approach, but involve tools such as Model Governance, Model Risk Profile and Appetite, analysis of Model Risk Concentrations and Exposure, etc.
 Week   Topic
Week 1 
September 27                           
       Introduction to Model Risk Management
During this first lesson, we set the scene by defining the key terms and provide general background. We introduce the key concepts and aspects relevant for Model Risk Management, which we will explore further in the subsequent lessons.
 Week 2
October 4
  Setting Up the MRM Framework Across the Modeling Life-Cycle
During this lesson, we cover stage-by-stage the entire modelling lifecycle while pointing out at each stage the key activities and typical areas of concern. We discuss the role  of MRM framework components across these stages.
 Week 3
October 11
  Establishing Model Governance, Model Inventory & Validation Processes
During this lesson, we zoom into the governance aspects of the MRM framework, discussing in details the objectives and benefits of Model Governance and Model Inventory and model validation. We will discuss also examples from the industry.
 Week 4
October 18
  Measuring the Model Risk & Impact of AI on MRM
During this lesson, we zoom into the more QUANTITATIVE aspects of the MRM framework, discussing in details the objectives and benefits of Model Risk Measurement. We will also explore the relation between AI models and MRM and Model Validation. We will discuss also examples from the industry.
Week 5 
October 25      
  MRM Technology Trends, Successful Roll-Out, & Embedding of the MRM Framework
During this last lesson, we wrap up the course with discussing the role that MRM systems and MRM reporting play in integration and cooperation of the components of MRM framework. We will go through the success factors, provide practical tips, and share MRM experiences from large banks in the industry.

Who Should Attend

Enterprise Risk Managers, Model Risk Management Professionals, Model Developers, Model Validators, Operational Risk Managers, Risk Governance professionals, Risk Management Consultants, Auditors, Regulators,  Data Scientists, Artificial Intelligence specialists.

About Our Expert

  Peter Plochan is the EMEA Principal Risk Management Advisor at SAS. He helps financial institutions deal with their challenges around finance and risk regulations, enterprise risk management, risk governance, forward-looking risk analysis, stress testing, model risk management, risk modelling, as well as climate change risk management.

Peter has a finance background, a Master’s degree in Banking and is a certified Financial Risk Manager (FRM) with 14 years of experience in risk management in the financial sector. He has assisted various banking and insurance institutions with large-scale risk management implementations while working both internally and externally as a risk management advisor (PwC).

Since joining SAS in 2014, Peter has served as a global acting domain expert - leveraging the latest trends in risk analytics and technology with his deep risk management and finance expertise.

Peter is also a Risk Management instructor for PRMIA where he develops and delivers virtual learning courses on Model Risk Management and ERM & Stress Testing for the global risk community. Peter regularly speaks and presents at risk events, webinars, and publishes risk management thought leadership materials.

Continued Risk Learning Credits: 12

PRMIA Continued Risk Learning (CRL) programs provide you with the opportunity to formally recognize your professional development, documenting your evolution as a risk professional. Employers can see that you are not static, making you a highly valued, dynamic, and desirable employee. The CRL program is open to all Contributing, Sustaining, and Risk Leader members, providing a convenient and easily accessible way to submit, manage, track and document your activities online through the PRMIA CRL Center. To request CRL credits, please email [email protected].

 Membership Type Price
 Member $ 474.00
 Non Member $ 599.00

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9/27/2022 - 10/31/2022
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