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Credit Risk Model Validation Quantitative Analyst Jobs

... Finance, Quantitative Research, and Growth Analytics to remediate validation findings and ... Experience in credit underwriting, credit risk management is a plus * Proven ability to work with ...

New

... quantitative model risk professional to support the independent oversight of models used across ... Strong analytical, communication, and stakeholder management skills. * Demonstrated intellectual ...

... quantitative model risk professional to support the independent oversight of models used across ... Strong analytical, communication, and stakeholder management skills. * Demonstrated intellectual ...

... quantitative model risk professional to support the independent oversight of models used across ... Strong analytical, communication, and stakeholder management skills. * Demonstrated intellectual ...

Model Lifecycle Management, Governance & Validation * Lead annual model maintenance activities and ... quantitative risk function within a financial institution or consulting environment. * Strong ...

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Credit Risk Model Validation Quantitative Analyst information

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$37K

$113.9K

$197.5K

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

As of Aug 21, 2026, the average yearly pay for credit risk model validation quantitative analyst 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 a credit risk model validation quantitative analyst?

A Credit Risk Model Validation Quantitative Analyst is a finance professional responsible for assessing and validating the accuracy, reliability, and performance of credit risk models used by financial institutions. Their work involves reviewing statistical methods, testing model assumptions, and ensuring compliance with regulatory requirements. By identifying model weaknesses and recommending improvements, they help institutions manage risk effectively and maintain sound lending practices.

What are the key skills and qualifications needed to thrive as a credit risk model validation quantitative analyst?

To thrive as a Credit Risk Model Validation Quantitative Analyst, you need a solid background in quantitative finance, statistics, and programming, often supported by an advanced degree in a quantitative field. Proficiency with statistical software such as Python, R, SAS, and familiarity with regulatory frameworks like SR 11-7 and Basel guidelines are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret model results and convey complex findings to stakeholders. These competencies ensure models are robust, compliant, and transparent, safeguarding the organization's financial stability and regulatory standing.

What are the typical challenges faced by a credit risk model validation quantitative analyst when reviewing complex financial models?

Credit Risk Model Validation Quantitative Analysts often encounter challenges such as interpreting complex model methodologies, ensuring data integrity, and identifying model limitations or weaknesses. They must thoroughly assess both conceptual soundness and technical implementation, which can involve dissecting highly sophisticated quantitative techniques and large datasets. Collaboration with model developers and business stakeholders is essential to address findings, communicate technical issues clearly, and ensure regulatory compliance. Staying current with evolving regulatory standards and best practices is also a key aspect of the role.
Infographic showing various Credit Risk Model Validation Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Temporary. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

Financial Model Risk Management Lead

Affirm

Remote

$164K - $224K/yr

Full-time

Medical, Dental, Vision

Posted 2 days ago

New


Job description

About Enterprise Risk & Internal Audit

The Enterprise Risk & Internal Audit department protects Affirm's operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth.

About the Team

We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as Affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company.

What You'll Do:
  • Perform independent challenges of financial and analytics quantitative models - including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics - through rigorous validation and ongoing monitoring
  • Lead end-to-end validation engagements on high-complexity, high-criticality models
  • Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders
  • Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance
  • Partner cross-functionally to implement and maintain the company's MRM framework
  • Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests
What We Look For:
  • 4-6 years of professional experience in related technical areas such as model development, model validation, quantitative finance, or data analytics - with meaningful exposure to financial and/or analytics model validation
  • Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting
  • Experience in credit underwriting, credit risk management is a plus
  • Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL); comfort reviewing models built in Excel, Python, Databricks, or similar environments
  • Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases
  • BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science
  • Detail-oriented and intellectually curious about data, models, and business context; skilled at critical thinking and structured problem-solving
  • Extraordinary interpersonal and verbal/written communication skills - able to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Pay Grade - M

Equity Grade - 8

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000
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