ZipRecruiter

Log In

1

Credit Risk Model Validation Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsCredit Risk Model Validation Jobs

Credit Risk Model Validation information

See salary details

$37K

$113.9K

$197.5K

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 the United States is $113,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $140,500.00 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.
More about Credit Risk Model Validation jobs
What cities are hiring for Credit Risk Model Validation jobs? Cities with the most Credit Risk Model Validation job openings:
What states have the most Credit Risk Model Validation jobs? States with the most job openings for Credit Risk Model Validation jobs include:
What job categories do people searching Credit Risk Model Validation jobs look for? The top searched job categories for Credit Risk Model Validation jobs are:
Credit Risk Model Validation jobs near you
Model Validation Analyst

Model Validation Analyst

First Electronic Bank

Salt Lake City, UT • On-site

Full-time

Posted 25 days ago

Job description

Job Type
Full-time
Description
At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB's engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.
The Model Validation Analyst plays a critical role in ensuring model integrity, regulatory compliance, and sound risk management practices. This role reports to the Head of Credit Risk and Portfolio Analytics Credit and supports the Bank's strategic partner program by reviewing statistical models used in underwriting and assessing overall model risk across partnerships.
What You'll Do:
  • Review third-party model validation documentation for conceptual soundness and alignment with applicable regulatory guidance.
  • Assess and challenge credit models and underwriting strategies used in loan origination.
  • Maintain a comprehensive inventory of all models used by the Bank, including underwriting, fraud, and marketing models.
  • Evaluate model performance monitoring practices and ensure appropriate tracking of key risk indicators.
  • Partner with Compliance, Legal, and Strategic Partner Management teams to ensure models meet applicable regulatory and internal policy requirements.
  • Prepare reports and present model risk metrics to the Bank's Credit Committee.
  • Monitor and test credit origination strategies to validate accuracy and consistency of credit decisions.
  • Conduct model and credit risk due diligence for prospective fintech partners.
  • Participate in or lead initiatives to enhance model risk management processes and improve overall risk oversight.

Requirements
What We're Looking For:
Education & Experience
  • Master's degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative field;
  • OR Bachelor's degree with 3+ years of relevant experience in model development or validation.
  • Prior experience developing and/or validating credit risk models is required.
  • 3+ years of experience in banking, financial services, or a related industry is preferred.

Technical Skills
  • Strong understanding of statistical modeling techniques, including regression and classification models.
  • Ability to evaluate model structure, assumptions, and validation methodologies.
  • Familiarity with machine learning models and their application in credit decisioning.
  • Proficiency in one or more programming languages/tools, such as SQL, Python, R, or SAS.
  • Working knowledge of credit policies and underwriting frameworks.
  • Familiarity with CECL models is a strong plus.

Professional Skills
  • Ability to work effectively across cross-functional teams, including Compliance, Audit, and Model Risk Management.
  • Strong analytical and critical thinking skills with attention to detail.
  • Effective written and verbal communication skills, including the ability to present technical concepts to non-technical audiences.
  • Strong organizational and prioritization skills in a fast-paced environment.

Additional Information
  • Experience working with regulatory, audit, or model risk management frameworks is a plus.
  • Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) required.

Apply