ZipRecruiter

Log In

1

Quantitative Model Validation Analyst Jobs in Oregon

Upstart

Staff Credit Analyst (Temporary)

OR · On-site +1

$61K - $81K/yr

... analytics, or a related quantitative function. * Experience performing data validation ... Experience using spreadsheet-based analytical models and translating business requirements into ...

BECU

Sr Statistical Modeling Analyst

OR · On-site +1

$99K - $186K/yr

Participate in annual model reviews and performance testing. * Manage the data request and systems ... Master's degree or foreign equivalent in a quantitative discipline such as statistics, math ...

New

Careoregon

Evaluation Analyst II

OR · On-site +1

This role will contribute to building logic models, evaluation planning, quantitative and qualitative data collection design, data analysis, and summarizing results in accessible, usable formats.

BOLD

Senior Financial Analyst, Payments

OR · On-site +1

$85K - $106K/yr

Extensive experience in building complex financial models, conducting quantitative and qualitative financial analysis and scenario analysis * Strong written, verbal and presentation communication ...

Tires Les Schwab

Planning Analyst

Bend, OR · On-site

Develop, validate, and maintain advanced statistical models and machine learning algorithms to ... quantitative field. * A Master's degree or specialized certification (e.g., ASCM/APICS CSCP, CPIM ...

BECU

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

... and validations of AI systems, models, tools, data, and processes to support effective AI ... Quantitative Risk Support: Apply analytical and quantitative techniques to support Enterprise Risk ...

Les Schwab Tire Center

Planning Analyst

Bend, OR · On-site

Develop, validate, and maintain advanced statistical models and machine learning algorithms to ... quantitative field. * A Master's degree or specialized certification (e.g., ASCM/APICS CSCP, CPIM ...

Amrize

Director of Artificial Intelligence

Portland, OR

$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.

Tires Les Schwab

Lead Pricing Analyst

Bend, OR · On-site

Focus specifically on optimizing pricing models and margin analysis for the passenger and light ... Own the end-to-end design, execution, and statistical validation of site-wide pricing experiments ...

Les Schwab Tire Center

Lead Pricing Analyst

Bend, OR · On-site

Focus specifically on optimizing pricing models and margin analysis for the passenger and light ... Own the end-to-end design, execution, and statistical validation of site-wide pricing experiments ...

YipitData

Product Manager, Quant Platform

OR · On-site +1

... quantitative products - factor feeds, signal libraries, analytics platforms, or similar * Strong ... Understanding of factor model frameworks (e.g., Barra, Axioma, or proprietary risk models) and how ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Design experiments and conduct quantitative analysis to test hypotheses about our users and the way ... Experience working with large datasets, unstructured data, data modeling, and data pipelines using ...

previous pagenext page

Showing results 21-40

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

Software/Firmware Validation Architect

Ampere Computing LLC

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and Edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role
We are seeking a visionary and highly experienced Firmware/Software Test & Validation Architect to define, design, specify, and guide the implementation of our comprehensive test and validation strategy. In this pivotal role, you will be instrumental in establishing the robust quality and reliability framework for our reference development platform, ensuring it meets the highest standards for performance, reliability, and mission-critical applications. You will be the thought leader for validating the entire software stack - from firmware and device drivers to the operating system, AI runtimes, and critical application solutions - post-silicon, ensuring hardware-software co-verification and customer enablement.
What You'll Achieve:
  • Define the overarching test and validation strategy and roadmap for Firmware, Software, System, and Reference Solution layers of our Arm-based reference hardware platforms.
  • Architect the end-to-end test infrastructure, frameworks, and methodologies required to achieve robust, scalable, and automated testing across all firmware/software layers.
  • Drive the integration of Continuous Testing (CT) pipelines for all test phases.
  • Define methodologies for Fault Injection Testing (FIT) (HW-assisted, SW-based) to validate diagnostic coverage and failure mechanisms.
  • Specify requirements and guide the application of execution time/latency analysis for time-critical software components.
  • Design the strategy for simulation/emulation/virtual platform environments applicable to embedded firmware, software and applications.
  • Define the approach for robust automated AI regression and performance benchmarking, including identifying relevant inference benchmarks, designing custom test harnesses for our AI accelerators, and specifying critical KPIs (e.g. latency, throughput, power efficiency per TOPS).
  • Develop a strategy for test data management, including synthetic data generation and replay for AI model validation, focusing on edge cases and diverse scenarios.
  • Provide expert technical guidance and mentorship to Firmware Verification, Software Verification, System Integration & Test, and Solution Validation teams.
  • Drive the selection and adoption of industry-leading test tools, simulators, analyzers, and methodologies.
  • Collaborate closely with Hardware Design, Firmware Development, Software Development, and Product Management teams to ensure alignment of test strategies with product requirements and customer needs.
  • Drive continuous improvement in test methodologies, automation, and overall quality assurance processes.
  • Ensure comprehensive documentation of all test plans, results, and architectural decisions.
  • Contribute to the creation of customer-facing documentation, best practices, and SDK examples for testing and validation on the reference platform.

About You:
  • Bachelor's or Master's degree in Electrical/Electronics/Computer Engineering, Computer Science, , Artificial Intelligence, or a related field.
  • 10+ years of progressive experience in embedded software/firmware test, verification, or validation, with at least 3-5 years in an Architect or Lead role defining strategy.
  • Demonstrated deep expertise in architecting firmware/software test and validation strategies for complex SoC and hardware platforms.
  • Proven experience with HIL/SIL simulation environments for embedded systems.
  • Expertise in test automation frameworks (e.g. Robot Framework, pytest), scripting languages (e.g., Python), and CI/CD pipeline integration (Jenkins, Gitlab/Github runners)
  • Proficiency in C/C++ for embedded systems, Linux/RTOS drivers and environments, and Arm-based architecture
  • Working knowledge of industry standards and hardware and software implementation related to I2C, I3C, PCIe, SPI, Ethernet, MCTP/PLDM, etc.
  • Excellent communication, leadership, and collaboration skills, with the ability to influence and guide cross-functional teams.
  • Strong analytical and problem-solving abilities, with a meticulous attention to detail.
  • Willingness to learn and explore new technical frontiers.

In addition to the above, the following is also highly desirable:
  • Working knowledge of AI performance benchmarking for hardware accelerators, including experience with relevant methodologies and metrics.
  • Experience with AI frameworks like TensorFlow, PyTorch, ONNX, and their deployment on server and edge devices.
  • Familiarity with security testing methodologies for embedded systems.
  • Experience in a customer-facing role, defining and supporting test strategies for partner companies.

What We'll Offer
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $225,500 and $338,500, except in the San Francisco Bay Area where the range is between $237,000 and $356,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process.
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

Apply