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Quantitative Model Validation Analyst Jobs in Oregon

AmeriSave Mortgage Corp.

$130K - $150K/yr

We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote ... Model Validation and Monitoring: Rigorously test, validate, and monitor model performance ...

Upstart

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

Conduct and document model risk assessments, monitoring reviews, and targeted quantitative analyses ... Internship or project experience related to model risk management, model validation, machine ...

New

Upstart

Principal Credit Analyst

OR · On-site +1

... validation, monitoring, and governance of credit models and analytics outputs Minimum Qualifications * 7+ years of experience in analytics, credit risk, or quantitative finance within fintech ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

Develop stored procedures and workflows that operationalize model outputs and support business monitoring. What You'll Need: * Quantitative Analytics Expertise: 5+ years of experience in quantitative ...

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 ...

Upstart

Staff Analyst

OR · On-site +1

$61K - $81K/yr

This model powers our decisions on which loans to approve and at what rates, and as such, it is ... Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance ...

Clarity Recruiting

Build scalable data models and reporting products that deliver actionable insights for key ... Implement data validation and quality assurance processes to ensure the accuracy, consistency, and ...

Upstart

Applied Scientist

OR · On-site +1

Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance. Preferred Qualifications * PhD in a quantitative field. * Knowledge of ...

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All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Oregon

Quantitative Model Validation Analyst information

See Oregon salary details

$59.7K

$141.5K

$253.7K

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 Oregon is $141,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $153,800.00 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 Oregon?

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

What job categories do people searching Quantitative Model Validation Analyst jobs in Oregon look for?

The top searched job categories for Quantitative Model Validation Analyst jobs in Oregon are:

What cities in Oregon are hiring for Quantitative Model Validation Analyst jobs?

Cities in Oregon with the most Quantitative Model Validation Analyst job openings:

Quantitative Model Validation Analyst jobs near you

Senior Quantitative Analyst - Mortgage Operations

AmeriSave Mortgage Corp.

On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Description
AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they're celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best. Let's redefine excellence together!
What We're Looking For:
We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
This is a fast-paced, high-ownership environment where ideas move quickly from concept to production. You will work on projects that are not only technically challenging but also highly visible and business-critical, delivering tangible impact across the organization. Analysts are empowered to take initiative, think creatively, and solve hard problems-resulting in deeply rewarding and high-leverage contributions that drive revenue and profit for the company.
What You'll Do:
  • Design and Develop Quantitative Models: Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment. Ensure models are efficient, transparent, and suitable for deployment in production environments.
  • Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. Develop actionable recommendations and partner with business leaders to prioritize and implement improvements.
  • Data-Driven Performance Measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. Develop metrics, dashboards, and automated reports that enable stakeholders to monitor progress and act on insights.
  • SQL-Based Analytics Solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
  • Python Modeling and Automation: Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation.
  • Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models as needed to maintain accuracy and business alignment.

What You'll Need:
  • Quantitative Modeling Expertise: 5+ years of experience developing statistical, econometric, or machine learning models in a business environment.
  • Advanced SQL Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
  • Python Proficiency: Strong experience with Python for data analysis, statistical modeling, and process automation.
  • Analytical Problem Solving: Ability to independently translate complex business problems into quantitative solutions. Skilled at designing experiments, validating hypotheses, and communicating findings clearly.
  • Business Acumen: Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
  • College degree preferred

High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
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**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **
Compensation:
Annual compensation for this position generally ranges from $130,000 - $150,000.
Benefits:
• 401(k)
• Dental insurance
• Disability insurance
• Employee discounts
• Health insurance
• Life insurance
• Paid time off
• 12 paid holidays per year
• Paid training
• Referral program
• Vision insurance
Supplemental pay types:
• Referral bonuses
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment
Employment Applicants, New Hires, and Employees Residing in California
AmeriSave Mortgage Corporation's Privacy Policy Statement ("Policy") can be reviewed here: www.amerisave.com/privacy-policy
AmeriSave Mortgage Corporation's California Consumer Privacy Act ("CCPA") Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/
When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

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