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Model Validation Jobs (NOW HIRING)

Operational • Conduct model validation activities based on internal MRM policy and procedures. • Conduct and perform quality assurance for model risk reporting. • Communicate effectively with ...

Senior Model Validation Analyst

Charlotte, NC · On-site

$83K - $103K/yr

Validates CECL, Stress Testing, and other economic models used by the Bank using various statistical and advanced testing techniques * Critically evaluates the conceptual soundness of models and ...

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Model Validation information

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$22

$51

$78

How much do model validation jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Model Validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What is a Model Validation job?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are some common challenges faced by professionals in Model Validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

More about Model Validation jobs
What cities are hiring for Model Validation jobs? Cities with the most Model Validation job openings:
What are the most commonly searched types of Model Validation jobs? The most popular types of Model Validation jobs are:
What states have the most Model Validation jobs? States with the most job openings for Model Validation jobs include:
Infographic showing various Model Validation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Full-time

Re-posted 21 hours ago


Job description

Essential Function / major duties and responsibilities of the job

Strategic

•      The Model Validator is responsible for validating CLS models, maintaining model validation standards and procedure documents, engaging with CLS MRM stakeholders on model risk matters, and MRM reporting.

Operational

•      Conduct model validation activities based on internal MRM policy and procedures.

•      Conduct and perform quality assurance for model risk reporting.

•      Communicate effectively with CLS businesses on model risk matters.

•      Collaborate with the Model Governance to ensure model governance and standards are appropriate for the firm’s risk profile and ensure enterprise-wide adherence.

Leadership

•      Execute model validation.

•      Enhance capabilities to operate MRM developed challenger/benchmark models.

Experience / essential and desired for successful job performance

•      0-3 years’ experience in the model risk management at a regulated financial institution.

•      Understanding of settlement and clearing, and the differences is a plus.

•      Knowledge of US Banking Regulations (Federal Reserve Board) is a plus.

•      Experience in working with statistical models.

Qualifications / Certifications

•      Bachelor’s degree is required; MS/MA or MBA is desired.

•      Experience with numerical and statistical tools: e.g. SAS, MATLAB, S-Plus, R, Python, C++.

Knowledge, skills and abilities / competencies required for successful job performance

·      Attention to detail to ensure consistent, correct, and accurate execution of model validation and reporting.

·      Knowledge of regulatory guidance on model risk management and industry best practice.

·      Knowledge of capital market products, esp. FX.

·      Strong verbal and written communication skills.

Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position

·      Excellent interpersonal communication skills, both written and verbal.

·      High ethical standards and a profound sense of integrity and confidentiality.

·      Challenging assumptions and maintaining independence and objectivity.

·      Build consensus, to influence both internal and external stakeholders.

·      Results oriented team player.

·      Ability to effectively take and drive initiative.

·      Self-starter, energetic; strive for excellence.