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Contract Model Risk Governance Jobs in Ohio (NOW HIRING)

Partner with crossfunctional risk teams to ensure alignment with Model Risk Management, Third Party Risk Management, Enterprise Data Governance, and other enterprise policies and programs to drive ...

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Contract Model Risk Governance information

What are some common challenges faced by professionals in Contract Model Risk Governance roles, and how can they be addressed?

Professionals in Contract Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring thorough model documentation, and effectively communicating risk findings to both technical and non-technical stakeholders. Balancing the need for detailed model validation with tight project timelines can also be demanding. To address these challenges, it's important to foster strong cross-functional collaboration, stay updated on industry best practices, and develop clear communication strategies for reporting risk and compliance issues.

What is the difference between Contract Model Risk Governance vs Contract Model Validation?

AspectContract Model Risk GovernanceContract Model Validation
Primary FocusOverseeing and managing risks associated with contract models, ensuring compliance and risk mitigationAssessing and testing contract models to ensure accuracy and reliability
ResponsibilitiesEstablishing policies, monitoring risk exposure, and implementing controlsPerforming independent reviews, testing model assumptions, and validating outputs
Work EnvironmentRisk management teams, compliance departments, regulatory interactionsQuantitative teams, model validation units, audit functions

While Contract Model Risk Governance focuses on managing and overseeing risks related to contract models, Contract Model Validation involves the technical assessment and testing of those models to ensure their accuracy and reliability. Both roles are essential in a comprehensive risk management framework within financial institutions and industries relying on contract models.

What are the key skills and qualifications needed to thrive in Contract Model Risk Governance, and why are they important?

To excel in Contract Model Risk Governance, you need a strong background in risk management, quantitative analysis, and familiarity with regulatory requirements, often supported by a degree in finance, mathematics, or a related field. Proficiency with risk management software, model validation tools, and knowledge of frameworks such as SR 11-7 is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for evaluating model risk and collaborating with stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and support sound decision-making within financial institutions.

What is Contract Model Risk Governance?

Contract Model Risk Governance refers to the framework and processes used by organizations to identify, assess, monitor, and mitigate risks associated with the use of models in contracts or contractual obligations. This role ensures that the use of quantitative models in financial and business contracts complies with regulatory standards and internal policies, reducing the likelihood of errors, misinterpretations, or financial losses. Professionals in this field often oversee model validation, implementation, and documentation, and work closely with compliance, risk, and legal teams. Effective governance helps maintain model integrity and supports sound decision-making across the organization.
What are popular job titles related to Contract Model Risk Governance jobs in Ohio? For Contract Model Risk Governance jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Contract Model Risk Governance jobs in Ohio look for? The top searched job categories for Contract Model Risk Governance jobs in Ohio are:
What cities in Ohio are hiring for Contract Model Risk Governance jobs? Cities in Ohio with the most Contract Model Risk Governance job openings:
Infographic showing various Contract Model Risk Governance job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Model Risk Management Senior Analyst - Model Risk Management

Model Risk Management Senior Analyst - Model Risk Management

WesBanco Bank, Inc.

Uniontown, OH • On-site, Remote

Full-time

Posted 15 days ago


WesBanco rating

7.4

Company rating: 7.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

92nd of 141 rated banks


Job description

SUMMARY:
Model risk management (MRM) refers to the overseeing of risk defined by potential adverse consequences from decisions based on incorrect or misused models. MRM aims to employ techniques, practices or behaviors that will identify, measure and mitigate model risk across the Bank - the potential of model error or wrongful model usage.
The MRM Senior Analyst will support the SVP MRM Officer in the implementation and execution of Bank-wide MRM policies, standards and procedures, including model validation, model governance and performance monitoring, in conformance with regulatory guidance. The MRM Senior Analyst will attend and participate in meetings with the SVP MRM Officer and Senior Bank Management.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Supports the creation and maintenance of the Bank-wide model inventory and model risk rating.
Assists the SVP MRM Officer in performing independent validation and testing of Bank-wide risk models in accordance with MRM Policy as well as Model Validation Standards, Procedures and Templates.
Evaluates the conceptual soundness of model specifications; the reasonableness of assumptions and reliability of inputs; the completeness of testing performed to support the correctness of the implementation; the robustness of numerical aspects; the suitability and comprehensiveness of performance metrics and risk measures associated with use of models.
Assesses and measures the potential impact of model limitations, parameter estimation error or deviations from model assumptions; compares model outputs with empirical evidence and/or outputs from model benchmarks.
Documents and presents observations to SVP MRM Officer and to model owners and users; recommends management action plans, and tracks remediation progress.
Evaluates and monitors model performance reports on an on-going basis to ensure models remain valid, as well as contributes to the Bank-wide model risk and control assessment.
Provides on demand support during regulatory exams of MRM and periodic reviews performed by Internal Audit.
Engages in continued education through the company's internal training webinars.
Performs any other MRM-related tasks as needed.
Other duties may be assigned.
OTHER REQUIREMENTS:
Banking is a highly regulated industry and you will be expected to acquire and maintain a proficiency in the Bank's policies and procedures, and adhere to all laws, rules and regulations that are applicable to your conduct and the work you will be performing. You will also be expected to complete all assigned compliance training in a timely manner.
Proficient in Microsoft Office products including Word and advanced Excel skills.
Ability to utilize tools provided in performing job responsibilities.
Willingness to provide a level of service which will clearly differentiate us from our competitors.
Professional demeanor in appearance, interpersonal relations, work ethics and attitude.
Possess clear, concise, effective written and oral communication skills to effectively express thoughts, ideas and concepts to management, bank employees and bank customers in a collaborative and solutions-oriented manner.
Must possess high level of attention to detail and accuracy.
Ability to multi-task and keep documentation organized.
Ability to take initiatives and work independently.
Banking is a highly regulated industry and you will be expected to acquire and maintain proficiency in the Bank's policies and procedures, and adhere to all laws, rules and regulations that are applicable to your conduct and the work you will be performing. You will also be expected to complete all assigned compliance training in a timely manner.
Strong business writing skills.
Ability to make, review and analyze information and make appropriate recommendations.
Graduate degree in Statistics, Mathematics, Economics or other related field required.
Quantitative analysis experience in a discipline relevant to risk management to include statistical analysis, mathematical modeling required; experience within consulting or banking preferred.
Experience with analytical tools such as Python, R, MATLAB, SAS, SQL, MS Office required.
Experience in quantitative modeling or validation preferred.

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