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Model Validation Quant Jobs (NOW HIRING)

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 ... Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA

$210K - $280K/yr

Design and execute comprehensive model validation strategies, including quantitative and qualitative assessments. * Review model development documentation, code, and datasets for correctness ...

Purple Drive Technologies

QUANT ANALYTICS

Cleveland, OH · On-site

TCS Must Have Technical/Functional Skills Hands-on experience in statistical and AI/ML model development or validation, with a strong understanding of quantitative modeling methods (including AI/ML ...

Desjardins Group

As part of its activities, Desjardins Group uses a large number of data-driven quantitative models ... As a data scientist, model validation, you help ensure that data is appropriately valued at each ...

BMO Financial

Credit Risk Model Validation

Chicago, IL · On-site

This role is ideal for a professional with a strong quantitative background who thrives in a collaborative environment and is committed to advancing model risk governance. Performs validation of ...

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How much do model validation quant jobs pay per hour?

As of May 31, 2026, the average hourly pay for model validation quant 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 as a Model Validation Quant, and why are they important?

To thrive as a Model Validation Quant, you need a strong background in quantitative finance, statistics, and mathematics, typically with an advanced degree such as a Master's or PhD. Familiarity with programming languages like Python, R, or MATLAB, and experience with risk management systems and model validation frameworks are crucial. Attention to detail, critical thinking, and clear communication help distinguish top performers in this field. These skills ensure accurate model assessments, regulatory compliance, and effective risk mitigation in financial institutions.

What are some of the main challenges a Model Validation Quant faces when assessing complex financial models?

One of the primary challenges for a Model Validation Quant is evaluating the robustness and accuracy of sophisticated models, especially when underlying assumptions or input data are uncertain. This often requires a deep understanding of both quantitative finance and programming, as well as the ability to communicate findings clearly to stakeholders who may not have technical backgrounds. Additionally, staying updated on regulatory requirements and best practices is crucial, as validation standards frequently evolve. Collaborating effectively with model developers and risk managers is also key to ensuring models meet both business and regulatory expectations.

What are Model Validation Quants?

Model Validation Quants are quantitative analysts who assess and validate the financial models used by banks and financial institutions. Their main job is to independently review models for pricing, risk management, and capital calculation to ensure they are accurate, robust, and compliant with regulatory standards. They identify potential model weaknesses, suggest improvements, and document their findings. This helps organizations manage model risk and maintain regulatory compliance.

What is the difference between Model Validation Quant vs Model Risk Analyst?

AspectModel Validation QuantModel Risk Analyst
Required CredentialsQuantitative degrees (Math, Finance, Engineering), certifications like CFA or FRMSimilar credentials, often with risk management certifications
Work EnvironmentQuantitative teams, model validation departments, financial institutionsRisk management teams, compliance departments, financial firms
Industry UsagePrimarily in banking, asset management, hedge fundsAcross banking, insurance, asset management
Common Search/ComparisonModel Validation Quant vs Model Risk Analyst

The Model Validation Quant focuses on independently testing and validating financial models to ensure accuracy and compliance. The Model Risk Analyst also assesses models but often has a broader role in identifying and mitigating overall model risks within an organization. Both roles require strong quantitative skills and industry experience, but the Validation Quant is more specialized in model testing, while the Risk Analyst covers wider risk management functions.

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What job categories do people searching Model Validation Quant jobs look for? The top searched job categories for Model Validation Quant jobs are:
Model Validation Quant jobs near you
Infographic showing various Model Validation Quant job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Model Validation Analyst II

Frost Bank

San Antonio, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Job Description
It's about insights that are out of sight.
Does deciphering a secret code and discovering its hidden meaning excite you? Would you consider math to be your second language? Do you want the autonomy to improve processes and find solutions? 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 Frost, we're committed to fostering an environment that reflects our values and encourages team members to be the best they can be. In joining our adaptable, integrity-driven team, you'll become part of Frost's over 150-year legacy of providing unparalleled banking services.
Who you are:
As a Model Validation Analyst II with Frost, you are our monitor. In this role, you monitor and validate aggregate model risk in alignment with Frost's risk strategy. You will provide recommendations on how to adjust model risk. By turning data into insights, you will help us discover the accuracy of the most complex and significant financial, statistical, and behavioral models that are used within the organization. More than that, this role is about constant improvement and doing so with our signature all-win approach in mind.
What you'll do:
  • Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings. Focus on the most complex and significant models used within the organization. Ensure a thorough review by challenging key aspects of each model
  • Validate and review models regarding their theoretical soundness, testing design, and points of weakness
  • Interpret data to recognize any potential risk exposure; additionally, identify opportunities to use data in ways that enhance the strategic and tactical decisions made by management.
  • Develop challenger models that help validate existing models and assist with outcome analysis
  • Ensure compliance with the model risk monitoring framework
  • Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes throughout the organization
  • Evaluate the Bank's compliance with SR 11-7 regulatory guidance
  • Provide guidance and direction to less experienced analysts
  • Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes

What you'll need:
  • Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics
  • 2+ years of experience in the development or validation of financial, statistical, or mathematical models, preferably within the financial services industry
  • Mastery of statistics and numerical techniques
  • Demonstrated experience with documenting technical aspects of a model as well as presenting results/findings
  • Proficient in either SQL, SAS, R, or Python
  • Advanced knowledge of Microsoft Excel
  • Proficient in Microsoft computer applications
  • Excellent written and verbal communication skills

Additional Preferred Skills:
  • Ph.D. degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics

Our Benefits:
At Frost, we care about your health, your family, and your future and strive to have our benefits reflect that. This includes:
  • Medical, dental, vision, long-term disability, and life insurance
  • 401(k) matching
  • Generous holiday and paid time off schedule
  • Tuition reimbursement
  • Extensive health and wellness programs, including our Employee Assistance Program
  • Referral bonus program + more!

Since 1868, Frost has dedicated their expertise to provide exceptional banking, investment, and insurance services to businesses and individuals throughout Texas. Frost is one of the 50 largest U.S. banks by asset size and is a leader in banking customer satisfaction. At Frost, it's about being part of something bigger. If this sounds like you, we encourage you to apply and see what's possible at Frost.

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