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Credit Risk Model Validation Jobs (NOW HIRING)

Careers at KKR

VP, Credit Risk Modeling

New York, NY · On-site

$160K - $175K/yr

Develop a credit risk framework: calibrate transition matrices, model correlated credit migration ... Experience calibrating and validating credit models. * Strong written communication for technical ...

Amerant Bank

Credit Risk Metrics Specialist

Plantation, FL · On-site

$80 - $100/hr

... the model validation and ongoing monitoring. Prepares Credit Risk SEC, US-GAPP, OCC and other credit risk financial reporting, development of asset quality presentations, and calculation of Risk ...

EagleBank

Model Risk Management Officer

Bethesda, MD · On-site

$152K - $261K/yr

Review and validate models across different areas, including credit risk, market risk, liquidity risk, and operational risk. Evaluate model assumptions, data integrity, calibration, and performance ...

EagleBank

Model Risk Management Officer

Bethesda, MD · Hybrid

$152K - $261K/yr

Review and validate models across different areas, including credit risk, market risk, liquidity risk, and operational risk. Evaluate model assumptions, data integrity, calibration, and performance ...

EagleBank

Model Risk Management Officer

Bethesda, MD · On-site

$200 - $250/hr

Review and validate models across different areas, including credit risk, market risk, liquidity risk, and operational risk. Evaluate model assumptions, data integrity, calibration, and performance ...

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 ...

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 ...

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 ...

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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 Sep 8, 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 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 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.

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Credit Risk Model Validation jobs near you
Infographic showing various Credit Risk Model Validation job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

VP, Credit Risk Modeling

New York, NY • On-site

Careers at KKR
See more jobs at Careers at KKRexternal

$160K - $175K/yr

Full-time

Re-posted 11 days ago

Job description

The Opportunity

Global Atlantic, a KKR company, is one of the largest insurance and reinsurance platforms in Bermuda, managing over $110 billion across multiple entities. As the portfolio grows in scale and complexity - spanning structured credit, mortgage loans, corporate bonds, and alternative assets - we are investing in a dedicated credit modeling capability to help the firm understand and quantify tail credit risk across the full investment book. This VP role will lead the development of models that measure portfolio-level default and downgrade exposure, inform capital allocation, and strengthen our risk framework.

Responsibilities:

  • Build and own portfolio credit risk models that quantify tail losses from default and rating migration across asset classes
  • Develop a credit risk framework: calibrate transition matrices, model correlated credit migration, and produce full loss distributions to measure tail risk at the portfolio level
  • Calibrate asset-class-specific inputs - transition probabilities, loss given default, recovery rates, and credit spreads
  • Translate model outputs into actionable capital metrics: compute expected loss, cost of downgrade, and tail risk measures by rating and tenor to support portfolio construction, and limit-setting decisions
  • Build production-quality Python pipelines for model execution, data processing, and automated reporting; deliver clear visualizations and summaries for senior leadership and the Board
  • Partner with investment teams, and finance to embed credit risk analytics into portfolio monitoring, stress testing, and strategic asset allocation

Qualifications Required:

  • 8-12 years in credit risk modeling, quantitative finance, or insurance capital modeling.
  • Deep expertise in portfolio credit risk frameworks - transition matrices, Monte Carlo simulation, correlated default modeling, and tail risk measurement.
  • Production-quality Python skills.
  • Experience calibrating and validating credit models.
  • Strong written communication for technical and executive audiences.
  • Comprehensive user of AI tools.

Preferred:

  • Insurance regulatory capital experience (Bermuda, Solvency II, or NAIC RBC).
  • Structured credit modeling (CLO engines, CMBS/RMBS loss models).
This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.  Base Salary Range   -  $160,000 to $175,000
 
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