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Credit Risk Model Validation Quantitative Analyst Jobs

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Collaborate with Counterparty Credit Risk Management, model governance, model validation ... Strong quantitative, technical, research, and programming skills. * Strong analytical skills with ...

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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.

Underwriting/Credit Model Risk Senior Manager - Machine Learning

Affirm

Remote

$227K - $287K/yr

Full-time

Medical, Dental, Vision

Posted 7 days ago

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 a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm's MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models.

You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you.

What You'll Do:
  • Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain.
  • Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management.
  • Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring to ensure model accuracy.
  • Identification & Remediation: Detect critical model weaknesses and identify areas for improvement; collaborate with model owners and developers to track and resolve validation findings.
  • Framework Enhancement: Partner with cross-functional stakeholders to implement and refine the enterprise-wide Model Risk Management (MRM) framework, ensuring it remains robust and innovative.
  • Audit & Compliance: Coordinate with Accounting, Internal Controls, and Compliance teams to ensure all model activities meet or exceed internal standards and regulatory expectations.
What We Look For:
  • Experience: 9+ years of professional experience in a highly technical role, such as model development, model validation, or quantitative analytics.
  • Domain Expertise: Deep understanding of machine learning modeling, underwriting, and credit risk management.
  • Technical Proficiency: Advanced ability to script in Python and expertise in using SQL to manipulate and analyze large-scale, complex datasets.
  • Leadership & Influence: Proven track record of hiring, managing, and mentoring quantitative teams. Ability to transition seamlessly between high-level strategic oversight and detailed, hands-on technical work.
  • Education: A BS, MS, or PhD in a quantitative discipline such as Statistics, Quantitative Finance, Mathematics, or Data Science.
  • Analytical Mindset: A natural problem-solver with a meticulous eye for detail, a deep curiosity regarding model mechanics, and sharp critical-thinking skills.
  • Communication: Exceptional interpersonal skills with a proven ability to distill and translate complex technical concepts for diverse audiences.

Pay Grade - Q

Equity Grade - 14

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: $255,000 - $315,000

USA base pay range (all other U.S. states) per year: $227,000 - $287,000
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