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Quantitative Model Validation Analyst Jobs in Portland, OR

Itvjob

Data Analyst Required In United States

Beaverton, OR · On-site

$79 - $100/hr

A leading global professional services company is seeking a Data Analyst to provide quantitative ... The Accenture Flex model significantly reduces or eliminates travel demands, as you work onsite in ...

New

Standard, The

Actuary - RP Modeling

Portland, OR · Remote

$123K - $145K/yr

This role has a strong focus on ad-hoc and what-if analyses, new business model development, and ... of quantitative, qualitative, forward-looking, and organizational factors. Winning Together:

Corvel

Data Analyst IV

Portland, OR

... and validation of data sets. Analyze data using statistical methods and corresponding tools ... Statistical project models depicting current trends and forecasting project KPIs, Net Revenue ...

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All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Portland, OR

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

Structural/ Thermal Modeling Engineer 3

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Re-posted 9 hours ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

130th of 493 rated machine equipment manufacturers

Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
We move atoms that move the world.
At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment.
As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.
To build a prosperous career, start with an atom.
Should you choose to walk the path historically driven by Moore's law, your primary job function will involve cutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you.
What you'll do
  • Developing physics-based models for Thermo-Elastic, Structural and CFD applications for components in semiconductor capital equipment industry. Experience in commercial software like ABAQUS, ANSYS, NASTRAN, COMSOL, etc., is highly desirable.
  • Data driven modeling - Juncture of physics-based modeling with data-driven, AI/ML methods:
    • Developing methods for translating tool operational data into improved engineering designs
    • Utilizing DOE, Optimization, and statistical methods to correlate Simulation data to experimental data.
    • Stochastic optimization tools to bridge between simulation and experiments.
    • Predict, measure and analyze the experimental data of mechanical designs, process specification and software programs for semiconductor manufacturing equipment.
    • Uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty.
  • Developing and maintaining live multi-physics models
  • Multi-scale modeling from nano, meso to macro levels
  • Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
  • Use advanced statistical, probabilistic and forecasting methods to best quantify design and performance of overall system.
  • Provide written reports and oral presentation of results to design teams and management.
  • Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.

Who we're looking for
Minimum Qualifications:
  • PhD in Mechanical Engineering or closely related field with strong emphasis in solid mechanics, heat transfer and fluid mechanics or related fields.
  • Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software.
  • Coding ability to supplement commercial software for specific applications as needs arise.
  • Ability to work within a team to own and design concepts and drive design decisions.
  • Ability to lead and conduct design reviews in cross functional and matrixed environments.
  • Strong written and oral communication. Self-starter to start own initiatives and projects for continuous improvement in capabilities and design.
  • This is a graduate eligible role.

Preferred qualifications
  • Preferred knowledge of chemistry, semiconductor metrology methods, and employing sensors and hardware designs in a vacuum environment is also a plus.
  • Expertise or working knowledge in several of these areas are desired:
    • Big data, AI/ML algorithms and concepts.
    • Multi-physics modeling,
    • Multi-scale modeling, Feature scale from nano, meso scale to macro scale.
    • Heat transfer in low pressure regimes
    • HPC, optimization and cloud computing
    • Numerical methods - Smoothed Particle Hydrodynamics (SPH), MD, BTE, Spectral Element, molecular dynamics, DSMC.
    • Thin film mechanics and characterization
    • Ceramic materials
    • Fracture mechanics and Fatigue
    • Uncertainty qualification, error analysis, statistical methods.
    • Statistical theory, DOE, optimization algorithms.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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