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Credit Risk Model Validation Jobs in Texas (NOW HIRING)

Experience with credit risk modeling and statistical analysis. Responsibilities: * Conduct comprehensive financial analysis of clients to assess credit risk and determine credit limits. * Review and ...

Executes the model validation oversight process compliant with the written risk and compliance policies and procedures which require independence from model stewards (e.g., model owners, developers ...

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 ...

Executes the model validation oversight process compliant with the written risk and compliance policies and procedures which require independence from model stewards (e.g., model owners, developers ...

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Credit Risk Model Validation information

See Texas salary details

$34.5K

$106.1K

$184K

How much do credit risk model validation jobs pay per year?

As of Jun 16, 2026, the average yearly pay for credit risk model validation in Texas is $106,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $130,900.00 per year, depending on experience, location, and employer.

What is credit risk model validation?

Credit risk model validation is the process of ensuring that models used to assess the creditworthiness of borrowers are accurate, reliable, and compliant with regulatory standards. This involves independent review and testing of the model's design, data, assumptions, and performance. The goal is to identify any weaknesses or limitations that could affect the model's ability to predict credit risk, reduce financial losses, and maintain regulatory compliance. Model validation is typically performed by specialists who are not involved in the model's development to ensure objectivity.

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

To thrive in Credit Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, usually supported by a relevant degree such as in mathematics, finance, or engineering. Familiarity with statistical programming languages (such as Python, R, or SAS), model validation frameworks, and regulatory guidelines like Basel accords is crucial. Attention to detail, critical thinking, and clear communication skills help you effectively analyze models and convey complex findings to stakeholders. These competencies are vital for ensuring accurate risk assessment, regulatory compliance, and the robustness of financial institutions' credit risk models.

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

AspectCredit Risk Model ValidationCredit Risk Analyst
Primary FocusAssessing and validating the accuracy of credit risk modelsAnalyzing credit data to assess borrower risk and support lending decisions
Skills & CertificationsStatistical, quantitative skills; certifications like FRM or CFA often preferredFinancial analysis skills; relevant certifications like CFA or credit-specific training
Work EnvironmentQuantitative teams within risk management or model validation unitsCredit departments, lending teams, or risk management units

While both roles involve credit risk, Credit Risk Model Validation focuses on testing and validating models' accuracy, whereas Credit Risk Analysts evaluate individual creditworthiness to inform lending decisions. The validation role is more technical and model-focused, while analysts work directly with credit data and client assessments.

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

Professionals in Credit Risk Model Validation often encounter challenges such as staying up-to-date with evolving regulatory requirements and ensuring models remain compliant. They must also navigate the complexities of validating models that use advanced statistical techniques or machine learning, which requires both technical expertise and a thorough understanding of the underlying business context. Additionally, clear communication with stakeholders—like model developers, auditors, and risk managers—is essential to address findings and recommend improvements effectively. Managing tight deadlines and balancing multiple validation projects simultaneously can also be demanding.
What are popular job titles related to Credit Risk Model Validation jobs in Texas? For Credit Risk Model Validation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Credit Risk Model Validation jobs in Texas look for? The top searched job categories for Credit Risk Model Validation jobs in Texas are:

AI Model Risk Validation Specialist

The Mutual Group

Dallas, TX • Hybrid

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Department:

Information Technology

Job Description:

Serve as the independent validator of AI Systems, responsible for technical assessment, model risk evaluation, and ongoing monitoring of AI/ML models across The Mutual Group and its member insurance carriers.

This is a highly hands-on individual contributor role focused exclusively on AI Systems, with emphasis on predictive models impacting underwriting, claims, and decision-making. The role supports the AIS Program by providing objective, technical validation input into governance and approval decisions.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Model Validation (Core Responsibility)

  • Perform independent validation of AI/ML models, including:

    • Model design, methodology, and assumptions

    • Training and test data quality and representativeness

    • Performance metrics, thresholds, and benchmarking

  • Review vendor-provided FactSheets and technical documentation for completeness and accuracy

Risk Assessment

  • Evaluate key model risks, including:

    • Bias and fairness

    • Explainability and interpretability

    • Model limitations and edge cases

  • Assess alignment with:

    • NAIC expectations

    • Model risk management practices

  • Identify gaps and recommend risk mitigation strategies

Governance Integration

  • Provide independent validation input into AI governance decisions

  • Support the AIS / Security Governance Team by contributing technical risk perspectives during AI system reviews

  • Act as a second-line reviewer to challenge assumptions and strengthen decision-making

Ongoing Monitoring

  • Lead twice-annual validation of AI Systems

  • Monitor predictive models for:

    • Drift

    • Stability

    • Performance degradation

  • Ensure monitoring practices align with AIS Program requirements

  • Recommend corrective actions when performance or risk thresholds are breached

Documentation & Audit Support

  • Maintain model validation documentation for:

    • Internal audit

    • Regulatory review

  • Ensure validation results are:

    • Clearly documented

    • Traceable and reproducible

  • Support inquiries with technical analysis and evidence

Qualifications:

  • 5+ years in data science, model risk management, or AI/ML validation

  • Experience working with predictive models in regulated environments (insurance or financial services preferred)

  • Strong understanding of:

    • Machine learning models and statistical techniques

    • Model evaluation and validation methodologies

    • Bias and fairness concepts

    • Model lifecycle management

  • Familiarity with:

    • NAIC AI Model Bulletin

    • NIST AI RMF

    • Model governance and validation standards

  • Ability to translate technical findings into business and risk implications

Pay Range:

Anticipated Hiring Range:

  • $100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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