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Model Risk Manager Jobs in Arnold, MD (NOW HIRING)

We're seeking someone to join our team as a Model Risk Control Specialist in Non-Financial Risk to ... At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their ...

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

In addition to possessing risk modeling expertise, the senior manager must demonstrate a thorough understanding of equity investment strategies, markets, and macroeconomic risk drivers. Effective ...

SC&H's Risk Practice is seeking a Senior Manager to lead and grow our service line with a strong ... Prior practice-building responsibilities (offerings, pricing models, partner alliances)

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Model Risk Manager information

See Arnold, MD salary details

$50.2K

$108.8K

$165.8K

How much do model risk manager jobs pay per year?

As of May 28, 2026, the average yearly pay for model risk manager in Arnold, MD is $108,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What job categories do people searching Model Risk Manager jobs in Arnold, MD look for? The top searched job categories for Model Risk Manager jobs in Arnold, MD are:
What cities near Arnold, MD are hiring for Model Risk Manager jobs? Cities near Arnold, MD with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in Arnold, MD as of May 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $108,810 per year, or $52.3 per hour.
Model Risk Management Senior Analyst - Model Risk Management

Model Risk Management Senior Analyst - Model Risk Management

WesBanco Bank, Inc.

Bowie, MD • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


WesBanco rating

7.4

Company rating: 7.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

91st 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.
ADDITIONAL INFORMATION:
The wage range for the Model Risk Management Senior Analyst position is $110,000 - $130,000 annually. The position includes 17 days of PTO (Paid Time Off), 5 days of STD (Short Term Disability), 11 annual paid holidays and 1 float holiday.
WesBanco has an excellent benefits package to include medical, dental, and vision, Health Care Flexible Spending, Dependent Care Flexible Spending, Transportation Fringe Benefit Plan, Group Life, Long Term Disability, Optional Life, access to voluntary benefit products such as Cancer, Term & Universal Life, Accident, Short-Term Disability and Critical Illness policies, and other ancillary benefit products. WesBanco also offers 401(k) with employee match.
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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