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Model Validation Analyst Jobs (NOW HIRING)

Pyramid Consulting

Model Validation Analyst

Plano, TX · Hybrid

Model Validation Analyst Immediate need for a Model Validation Analyst for a position in the Banking & Financial Industry. This is a 6+ month's contract opportunity with long-term potential located ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

If so, being a Model Validation Analyst II with Frost could be for you. At Frost, it's about more than a job. It's about having a flourishing career where you can thrive, both in and out of work. At ...

US Bank

Quantitative Model Validation Analyst

Charlotte, NC · On-site

$117.73K - $138.50K/yr

... model validation tests/methodologies, using Python, R, SAS, or similar statistical package - Strong data compilation, coding skills, qualitative analysis skills, and knowledge of SQL - Advanced ...

US Bank

Quantitative Model Validation Analyst

Cincinnati, OH · On-site

$117.73K - $138.50K/yr

... model validation tests/methodologies, using Python, R, SAS, or similar statistical package - Strong data compilation, coding skills, qualitative analysis skills, and knowledge of SQL - Advanced ...

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How much do model validation analyst jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for model validation analyst in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $38.46 per hour, depending on experience, location, and employer.

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

To thrive as a Model Validation Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a degree in a relevant field such as finance, economics, or data science. Familiarity with statistical software (e.g., SAS, R, Python), risk modeling tools, and knowledge of regulatory requirements are essential. Attention to detail, critical thinking, and effective communication skills help you interpret model results and convey findings to stakeholders. These competencies ensure robust model risk management, regulatory compliance, and informed decision-making within financial institutions.

What are some common challenges faced by Model Validation Analysts, and how can they be addressed?

Model Validation Analysts often encounter challenges such as evaluating complex models with limited documentation, managing tight deadlines for validation reports, and staying current with evolving regulatory requirements. These challenges can be addressed by maintaining clear communication with model developers, utilizing standardized validation frameworks, and participating in ongoing training or workshops. Building strong analytical and documentation skills also helps ensure thorough and effective model assessments.

What are Model Validation Analysts?

Model Validation Analysts are professionals who assess and validate mathematical models used by organizations, especially in finance and risk management. Their primary responsibility is to ensure that these models are accurate, reliable, and compliant with regulatory standards. They review model assumptions, methodologies, and data inputs, as well as perform independent testing and documentation. By doing so, they help organizations manage risks and make informed decisions based on trustworthy model outputs.

What is the difference between Model Validation Analyst vs Quantitative Analyst?

AspectModel Validation AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, statistics, or related field; often certifications like CFA or FRMBachelor's or higher in finance, mathematics, or related; CFA or FRM common
Work EnvironmentFinancial institutions, risk management, model validation teamsInvestment banks, asset management firms, hedge funds
Employer & Industry UsageUsed in risk management, model validation departmentsUsed in trading, investment analysis, portfolio management

The Model Validation Analyst primarily focuses on verifying and validating financial models to ensure accuracy and compliance within risk management teams. In contrast, Quantitative Analysts develop and implement complex models for trading and investment strategies. While both roles require strong quantitative skills and similar certifications, their core responsibilities and work environments differ significantly.

More about Model Validation Analyst jobs
What cities are hiring for Model Validation Analyst jobs? Cities with the most Model Validation Analyst job openings:
What states have the most Model Validation Analyst jobs? States with the most job openings for Model Validation Analyst jobs include:
What job categories do people searching Model Validation Analyst jobs look for? The top searched job categories for Model Validation Analyst jobs are:
Model Validation Analyst jobs near you
Infographic showing various Model Validation Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 5% As Needed, 79% Full Time, 6% Part Time, 8% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $65,000 per year, or $31.2 per hour.
Model Validation Analyst

Model Validation Analyst

Pyramid Consulting

Plano, TX • Hybrid

Other

Posted 25 days ago

Job description

Model Validation Analyst

Immediate need for a Model Validation Analyst for a position in the Banking & Financial Industry. This is a 6+ month's contract opportunity with long-term potential located in Plano, TX. Please review the job description below:

Key Responsibilities/ Technology Experience:

  • Support the model validation team to mitigate the model risks
  • Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process and implementation
  • Provides subject matter expertise on models strength and weakness and recommend practical solutions
  • Validates models assigned by model governance committee
  • Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed
  • Utilizes express mode validation for new model development, facing legal and compliance related modeling issues, quick model fixes, etc.
  • Review model documents, and conduct test runs on model codes
  • Provide different view on methodology and calculations, and provide feedback to model developers
  • Work on model validation reports with - and provide ad hoc support to him
  • Must Have: Bachelor's Degree in Statistics, Econometrics, Finance, Operations Research, or equivalent REQUIRED.
  • Master's or PhD in Statistics, Econometrics, Finance, Operations Research, or equivalent HIGHLY preferred
  • 5+ years of financial model development or model validation experience
  • 3+ years of work experience in using SAS and SQL
  • Quantitative analysis skills
  • Work experience in Financial Industry
  • Model development or validation experience in PD, LGD, Prepayment and Cash Flow models
  • Preferred/ Nice-to-haves: Working experience in CECL or IFRS 9
  • Working experience in CCAR
  • Working experience in using R

Our client is a leading Banking & Financial Industry and we are currently interviewing to fill this and other similar contract positions. Qualified candidates should apply online for immediate consideration.

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