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Credit Risk Model Validation Jobs (NOW HIRING)

KKR

VP, Credit Risk Modeling

Manhattan, NY · On-site

$160K - $175K/yr

Translate model outputs into actionable capital metrics: compute expected loss, cost of downgrade ... Experience calibrating and validating credit models. * Strong written communication for technical ...

First Horizon

Credit Model Developer

Birmingham, AL · On-site

Excellent verbal, written, and interpersonal communication skills Preferred Experience: * 5 or more years of model development or validation experience, particularly in credit risk or stress testing.

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

PSECU

Credit Risk Analyst

Harrisburg, PA

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

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Credit Risk Model Validation information

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$37K

$113.9K

$197.5K

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

As of Jul 6, 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.
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Credit Risk Model Validation jobs near you

Enterprise Risk Management Department-Model Risk Management VP

Bank of China Limited, New York Branch

Manhattan, NY

$110K - $230K/yr

Full-time

Posted 6 days ago

Job description

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.


The job is a VP role in Model Risk Management team. The role contributes to implementing the model risk management framework including carrying out model risk governance activities and performing independent model validation. Specifically, regarding model validation, this role mainly drives and contributes to all kinds of model validations (e.g. credit risk, compliance risk, market risk/pricing, interest rate risk and liquidity risk types of models, etc.). This role will also get exposure to End User Computing (EUC) control framework enhancement and implementation. In general, this role is able to execute multi-tasks around model risk governance, conduct and add business values in model validation process, timely and effectively respond the requests from Regulatory and Internal Audit, and contribute in EUC control process.


Model Validation

  • Conduct independently and drive the team to perform model validation mainly on credit risk related models by applying analytical skills for models defined in the model inventory and produce model validation reports

  • Independently coordinate the remediation of model validation findings and provide analytical guidance of the finding owners

  • Independently communicate with model developers/owner/users and senior management regarding validation findings and remediation activities

Model Risk Governance

  • Support and drive the team to implement the activities defined in model risk management framework and ensures that the Bank’s model risk management framework continues to align with regulatory expectations

  • Support and drive the team to maintain model inventory and conduct annual model review/attestation processes

EUC Control

  • Contribute in EUC control framework maintenance and enhancement
  • Collaborate will relevant stakeholders to carry out the activities defined in EUC control framework

Other Duties

  • Support the other teams in ERM as needed.

  • Bachelor’s degree required. Master’s degree in Financial Engineering, Financial Mathematics, Mathematics, Statistics or Computer Science major preferred.
  • Minimum 6 years of financial modeling/analytical experience.
  • Demonstrate strong analytical and quantitative skills to understand and validate models effectively.
  • Demonstrate strong critical thinking and problem-solving skills with the ability to exercise sound and balanced judgment.
  • Demonstrate knowledge of SR11-7, supervisory guidance on model risk management, and other relevant banking regulations from regulators including OCC and FRB. 
  • FRM or CFA preferred.

USD $110,000.00 - USD $230,000.00 /Yr.

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