Model Risk Manager
Reference ID: FL - 220
Model Risk Manager
If you are a strong analyst and modeler, with a quantitative background, and banking expertise, MR Dominion may have the perfect opportunity for you. Our client is a nearly $10B Southeastern Bank that we have been partnering with for the past twelve years. As a firm we have placed countless accounting and finance executives within this organization as they have grown more than six-fold since we started partnering with them. They are a great shop and a great success story.
As they approach the $10B mark in asset size, they are now looking to hire a Model Risk Manager who will responsible for identifying and tracking all models within the organization, and you will play an active role in the validation, implementation, and overall assessment of the model risks, and what the appropriate approach should be used for these models. You will direct, oversee, and facilitate the governance and validation of models in the bank including credit risk, market risk, liquidity risk, valuation, and their stress testing models amongst others. The role covers the spectrum of model validation and model risk governance across the Bank and Bank Holding Company.
In addition to providing governance around policies and procedures in line with FDIC FIL 22-2017 / OCC 2011-12 and SR 11-7, you will be a working manager, managing both a process, and leading the validation efforts of internal staff (not necessarily direct reports) and external consultants with respect to models used for stress/forecasting models across the bank’s portfolio. You will periodically present findings and future strategies to senior management, ensuring that there is sufficient model documentation to meet regulators, auditors, and other external party requirements.
Banking experience is key. Having experience in model validation and model development and in developing policy and procedures for those models is critical. Broad based expertise, working with all types of models including credit risk, market risk, liquidity risk, valuation, and stress testing models is important for success in this role. Although a PhD is highly desirable, if you have a quantitative mindset and an educational background in mathematics, statistics, finance, you will be considered as well.
If this sounds of interest, please inquiry today in confidence.