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Quantitative Model Validation Analyst Jobs in Portland, OR

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA

$90K - $120K/yr

Develop data models, forecasts, segmentation analyses, and other quantitative analyses to support ... Validate reporting accuracy and investigate discrepancies, anomalies, or changes in performance.

Stantec

Transportation Analyst (Modeling)

Portland, OR · On-site

Support travel demand model calibration, validation, and scenario analysis. * Prepare model inputs ... Strong quantitative, analytical, and problem-solving abilities. * Capacity to manage multiple ...

Stantec

Transportation Analyst (Modeling)

Portland, OR · On-site

Support travel demand model calibration, validation, and scenario analysis. * Prepare model inputs ... Strong quantitative, analytical, and problem-solving abilities. * Capacity to manage multiple ...

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

... AI and advanced analytics to materially improve business performance across manufacturing ... Establish business unit standards for AI governance, model validation, monitoring, and auditability.

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Quantitative Model Validation Analyst information

See Portland, OR salary details

$59.9K

$142K

$254.5K

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

As of Aug 21, 2026, the average yearly pay for quantitative model validation analyst in Portland, OR is $141,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $154,300.00 per year, depending on experience, location, and employer.

What is a quantitative model validation analyst?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by quantitative model validation analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a quantitative model validation analyst, and why are they important?

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.

What is the difference between Quantitative Model Validation Analyst vs Quantitative Risk Analyst?

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

What are popular job titles related to Quantitative Model Validation Analyst jobs in Portland, OR?

For Quantitative Model Validation Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Quantitative Model Validation Analyst jobs in Portland, OR look for?

The top searched job categories for Quantitative Model Validation Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Quantitative Model Validation Analyst jobs?

Cities near Portland, OR with the most Quantitative Model Validation Analyst job openings:

Quantitative Model Validation Analyst jobs near you

Quantitative Model Risk Officer (Remote WA, OR, ID & CA)

Banner Bank

Portland, OR • On-site

$117.25 - $154.49/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Banner Bank rating

8.7

Company rating: 8.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

23rd of 171 rated banks

Job description

Join a collaborative team dedicated to strengthening safe and sound banking practices through effective model risk management. In this role, you will validate and monitor complex models that inform key business decisions, ensuring accuracy, compliance, and confidence across the organization.

In this role you'll
  • Perform full‑scope validations and periodic reviews of financial and risk models to assess conceptual soundness, data integrity, performance, and governance.
  • Design and implement model test plans, including reusable code and analytical tools to support future validations.
  • Partner with business units to monitor ongoing model performance and ensure alignment with expectations.
  • Collaborate with stakeholders to support adherence to model development and implementation standards.
  • Contribute to model governance activities, such as model inventory, risk rating, and tracking across the bank.
  • Prepare clear, thorough validation reports and presentations for senior leadership.
  • Maintain detailed documentation and track progress on model risk initiatives.
  • Stay current on industry trends, regulatory expectations, and emerging practices in model risk management.
What we're looking for
  • Required: You have a master’s degree in Statistics, Mathematics, Economics, Finance, or another quantitative discipline.
  • An equivalent combination of education and experience can be considered in lieu of a degree.
  • Required: You have six or more years of bank credit experience in model risk management, model development, or quantitative finance.
What helps you shine
  • You apply advanced statistical and quantitative techniques to assess model assumptions, design, and performance.
  • Hands‑on experience with validation techniques such as back‑testing, sensitivity analysis, stress testing, and benchmarking.
  • You understand model risk management frameworks, regulatory guidance, and lifecycle governance standards.
  • Communicate complex technical concepts clearly and effectively to both technical and non‑technical audiences.
  • You take initiative and consistently deliver accurate, high‑quality work both independently and collaboratively.
  • You are proficient in analytical tools such as Excel, R, SAS, and SQL.
  • You identify model weaknesses and produce documentation that stands up to regulatory and audit review.
Travel

Up to 10%.

Compensation & Benefits
  • Targeted starting salary range (based on experience): $117,249 – 154,493.
  • Annual incentive potential.
  • Comprehensive employee benefits, including medical, dental, vision, long‑term and short‑term disability, and life insurance.
  • Paid vacation time, sick time, and 11 company paid holidays.
  • 401(k) with up to 4% match.
  • Tuition reimbursement.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability, or protected veteran status.

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