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Credit Risk Model Validation Jobs (NOW HIRING)

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · On-site

Risk Management / Credit Risk Management Location: New York, NY (Hybrid - 3 days in office ... Model Lifecycle Management, Governance & Validation * Lead annual model maintenance activities and ...

Treliant LLC

Credit Model Specialist

$75 - $150/hr

Advanced degree a plus. * 5+ years of credit risk model validation work experience within the financial services industry. * Strong Python and R programming skills. * Experience using SAS and/or ...

Treliant LLC

Credit Model Specialist

$75 - $150/hr

Advanced degree a plus. * 5+ years of credit risk model validation work experience within the financial services industry. * Strong Python and R programming skills. * Experience using SAS and/or ...

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All JobsCredit Risk Model Validation Jobs

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 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.
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Credit Risk Model Validation jobs near you

Credit Risk Model Owner

BizTek People, Inc. | APA International Placement Consultants

Manhattan, NY • On-site

Full-time

Posted 7 days ago

Job description

Job Description
An iInternational banking organization seeks Analyst or Associate level of Credit Risk Model Owner to serve as local model owner to monitor and manage credit risk related models for the Bank's
Responsibilities: Delivery
• Conduct model performance monitoring based on monitoring plan and subsequent revisions, communicate with team leads, model validation team, model users and other stakeholders
• Maintain the An iit risk related model inventories, work with model validators to prepare the model documentation package, model attestation, etc.
• Address model risk findings which are issued by model validation group and internal audit generally
• Develop internal credit risk models collaborating with Tokyo Head Office, Model Validation team and/or external vendors
• Periodic monitoring on the use of credit models to identify and examine the need for enhancements of the models and their user guidance including training to model users
• Enhance model management, governance processes and model documentation standards to improve efficiency and accuracy of model validation process
Interpersonal Objectives:
• Communicate with various model stakeholders, including model users, model validators and internal auditors across the bank including Tokyo Head Office
• Report to team leads and senior management and also lead and train junior members
• Recommend enhancements to data management process to improve efficiency and accuracy of ongoing performance monitoring
• Consider the best approach to address the issues and feedback from model users
• Make presentations to senior management and regulators about credit risk related models and make trainings to model users
Requirements
  • Strong knowledge of Model RiskManagement framework, regulation and industry practice (Experience relatedto Credit Risk Rating Model is better)
  • Good experience and knowledge asCredit Risk Model Owner including developing credit rating models anddocumentation
  • Strong presentation skills tocreate visualized charts/materials for readers including regulators andsenior management
  • Demonstrated ability to workindependently and successfully manage multiple priorities and stakeholdersunder pressure
  • Ability to communicateappropriately at different levels of the organization to buildcollaborative relationships

Skills
  • Minimum work experience in modelrisk management of two years or more such as either model developer, modelvalidator or both (experience related to credit risk rating models ishighly desirable)
  • Major inProbability/Statistics/Financial Mathematics/Computer Science preferred
  • Master Degree/CFA/FRM preferred
  • Highly desirable technical andquantitative analysis skills with statistic knowledge and with technicalknowledge such as using Excel (VBA), MS Access, SQL, SAS and Python.
  • Excellent interpersonal andwritten and verbal communication skills
  • Japanese language skill a plus

Benefits
Good benefits

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