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Model Risk Management in U.S. Regional Banks

Interview with Andrew Hrdlicka, Assistant Vice President, Modeling and Analytics Officer at BOK Financial

 
PRLog - Oct. 29, 2012 - CHICAGO -- Errors in financial models that banks use on a daily basis could lead to tremendous financial and non-financial losses. It is crucial for banks to understand how they could minimize and manage model risk effectively. In addition, the OCC and the Federal Reserve have recently released new guidelines on model risk management, which will significantly modify their existing model risk management practices.

Andrew Hrdlicka answered a series of questions written by GFMI before the Model Risk Conference, December 3-5, 2012 in New York, NY (http://www.global-fmi.com/ModelRisk_AH). Andrew shares his thoughts on how risk management is different for regional banks.

What key changes have you already made because of the new guidelines on model risk?

Andrew Hrdlicka:
As described by the Federal Reserve and the OCC in SR Letter 11-7,

“Rigorous model validation plays a critical role in model risk management; however, sound development, implementation, and use of models are also vital elements. Furthermore, model risk management encompasses governance and control mechanisms such as board and senior management oversight, policies and procedures, controls and compliance, and an appropriate incentive and organizational structure.”

At BOK Financial the Model Review Group is a committee of senior managers responsible for ensuring that the bank’s model risk management structure adheres to the guidance provided by regulators. The Model Review Group acts a governance and control mechanism, maintains model policies and procedure, and supervises the approval and validation of models.

The Model Review Group was in place before the new supervisory guidelines were released. MRG has since ensured that existing model risk management structures were consistent with the new guidance. MRG has also incorporated relevant sections of the guidelines into BOK Financial’s model policy, particularly guidance related to model validation. MRG also expanded the role of the Subgroup on Technical Analytics and Research (STAR). STAR’s original purpose was to provide quantitative support to the Model Review Group as they assess whether models brought before the MRG have been thoroughly vetted. STAR’s role was expanded to act as a consultant to the business lines during model development to ensure models are developed to the high standards required by supervisory guidance, as well as to perform validations of models that would otherwise not come before the MRG.

What challenges do regional banks face in comparison with other banks when model risk management is concerned?

AH:
Regional banks generally deal with small modelling groups and limited data sets. The biggest challenge for regional banks is to develop a model risk management structure that utilizes limited modelling resources efficiently in both the development and validation of models while ensuring strong controls and procedures are in place.

What are the key methods for quantifying model risk at BOK Financial?

AH:
Model risk can be difficult to quantify. The Model Review Group is responsible for maintaining a current list of all models used throughout BOKF for significant business decisions. These models must be reviewed and validated regularly, and any models that are not reviewed in a timely manner are escalated to the Risk Oversight and Audit Committee.

How do you validate vendor models in-house?

AH:
Validation of both internal and vendor models is supervised by the Model Review Group. This group is a subgroup of the Risk Management Committee which is used proactively to assess whether proposed models and changes to models have been thoroughly evaluated by the sponsoring departments.  

The Model Review Group ensures that all models have been independently reviewed, thoroughly documented, and that procedures have been created to ensure ongoing validation of each model. Independent review of models is often conducted by the Subgroup on Technical Analytics and Research (STAR). The purpose of STAR is to provide quantitative support to the Model Review Group as they assess whether models brought before the MRG have been thoroughly vetted. If available, STAR conducts a thorough review of the model’s code and calculations. If source code is not available, STAR’s review focuses on ensuring the assumptions, theory, procedure, and output of the model are reasonable.

How do you think attendees would benefit by attending this conference?

AH:
As mentioned above, model risk can be very tough to quantify and address. This conference will provide an opportunity to learn from fellow professionals how model risk is both measured and mitigated at other financial institutions.

Andrew Hrdlicka is Assistant Vice President, Modeling & Analytics Officer at BOK Financial. Andrew began his career with BOK Financial as an IT intern in 2007, but moved to Risk Management when he began his Master of Science in Finance at the University of Tulsa in the fall of 2008. Andrew holds a bachelors’ degree in Computer Science from the University of Tulsa, and completed his masters’ degree from the University of Tulsa in May 2010.

For more information please contact Michele Westergaard, Senior Marketing Manager, Media & PR, marcus evans at 312-540-3000 ext. 6625 or michele@global-fmi.com  

About the Model Risk Conference 2013

This unique event will take place in New York, NY from December 3-5, 2012. Industry leaders attending this event will benefit from a dynamic presentation format consisting of workshops, panel discussions and case studies. Attendees will experience highly interactive conference sessions, 10-15 minutes of Q&A time after each presentation, 4+ hours of networking and exclusive online access to materials post-event.

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Contact Email:
***@marcusevansch.com Email Verified
Source:marcus evans
Phone:13125403000
Zip:60611
City/Town:Chicago - Illinois - United States
Industry:Banking, Finance
Tags:model risk, Risk Modelling, risk management, Finance, asset management
Shortcut:prlog.org/12011227
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