Model Risk Review Specialist II
Huntington Bancshares
- Location
- Columbus, OH
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 21, 2026
Skills
About this role
Description Summary: Model Risk Management (MRM) is part of the Corporate Risk Management of Huntington and is responsible for the independent oversight of models and non-statistical tools developed, acquired, and used by Huntington. The Model Risk Review Specialist II will take on a more advanced role in independently and collaboratively reviewing and validating models/quantitative frameworks spanning credit, interest rate, market risk, economic capital, capital market valuation, and other models as they arise within the organization. This position requires a deeper understanding and more extensive experience in model risk management, along with the ability to lead projects and mentor junior analysts.
Duties and Responsibilities
Advanced Model Review and Validation: Independently and collaboratively review and validate complex models, ensuring adherence to corporate policies and regulatory standards. Critical Analysis and Feedback: Provide in-depth qualitative and quantitative feedback on models, challenging assumptions and methodologies used by both internal and external parties. Research and Remediation: Conduct advanced research and formulate comprehensive remediation plans for critical issues related to model development, implementation, and usage. Communication: Effectively communicate the results of review/validation analyses through detailed verbal and written presentations, recommending robust remediation strategies. Documentation: Lead the compilation and ongoing maintenance of comprehensive model documentation, ensuring accuracy and completeness. Mentorship: Mentor junior analysts, providing guidance and support in their model review and validation activities. Resource on Model Concepts: Serve as a key resource on advanced model concepts and assumption changes, understanding and communicating their impacts. Business Context: Collaborate closely with business owners, model users, and developers to understand the business context for model use and facilitate the model approval process. Identify and Address Issues: Identify modeling gaps, errors, or oversights and recommend effective solutions. Emerging Issues: Proactively identify and communicate emerging model risk issues to model developers, senior management, and the appropriate risk committee. Quantitative Strategies: Stay updated on the latest quantitative strategies and translate them through coding using tools like R, MATLAB, SAS, and Excel. Leadership: Lead model risk projects, ensuring timely completion and adherence to standards. Performs other duties as assigned.
Basic Qualifications
Master’s degree in a quantitative field (mathematics, statistics, economics, engineering, finance, physics). Minimum of 3 years of relevant analytical work experience in model validation or model development roles.
Preferred Qualifications
Understanding of financial modeling theory and general solutions Experience in Risk Management or a Business Unit of a financial institution working with high impact models in the following risk areas credit, interest rate, market risk, economic capital or capital market valuation Familiar with related regulatory requirements on model risk management Understanding of statistical concepts and data analysis and demonstrated the ability to apply such concepts Have performed independent research and development when needed to solve problems and the ability to translate that into code Proficiency in statistical software packages (e.g. SAS, R, etc.), query tools and software, MS Excel Excellent communication skills with the ability to communicate findings clearly and concisely, verbally and in writing Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach