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Model Risk Manager Jobs in Oregon (NOW HIRING)

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

Enterprise AI Inventory Management: Maintain BECU's inventory of AI models, tools, and agents, including registration, risk classification, monitoring, and periodic review processes. * Third-Party ...

Director of Risk

OR · On-site +1

... management. This individual will be highly data-driven and analytical, with the ability to identify patterns, develop risk models and analytics, and design scalable workflows and controls that ...

Support model risk monitoring through quality reviews tied to credit decisioning, adverse action ... risk management in consumer lending, including secured lending products such as mortgage, home ...

Senior IT Auditor

Hillsboro, OR · On-site +1

$102K - $134K/yr

Enterprise Risk Management, Credit risk, Market risk, Operational risk, Model risk, Liquidity risk, and/or Sarbanes-Oxley. Broad, general knowledge of the banking and financial services industry and ...

Build sophisticated, non-standard Risk Cloud workflows and data models to address complex ... Autonomously manage project scope, timelines, deliverables, proactively identify risks to customer ...

Head of AI

OR · On-site +1

Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management). * Partner with security, legal, and compliance teams to ensure AI solutions meet client ...

Showing results 21-40

Model Risk Manager information

See Oregon salary details

$54.5K

$117.9K

$179.7K

How much do model risk manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for model risk manager in Oregon is $117,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $136,400.00 per year, depending on experience, location, and employer.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

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

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What job categories do people searching Model Risk Manager jobs in Oregon look for?

The top searched job categories for Model Risk Manager jobs in Oregon are:

What cities in Oregon are hiring for Model Risk Manager jobs?

Cities in Oregon with the most Model Risk Manager job openings:

Infographic showing various Model Risk Manager job openings in Oregon as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $117,947 per year, or $56.7 per hour.

Staff Quantitative Risk Management Analyst - Credit Risk

Hillsboro, OR • Hybrid

First Technology Federal Credit Union
Utilities • 1 - 5K employees

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Key responsibilities

  • Support the design, development, implementation, and ongoing enhancement of CECL models used to estimate expected credit losses.

  • Lead the development, enhancement, and maintenance of quantitative credit risk models, methodologies, and analytical tools.

  • Perform advanced statistical, econometric, and predictive analyses to identify emerging risks, evaluate portfolio performance, and inform strategic decision-making.


Job description

Description

This role supports the organization's credit risk management framework through advanced quantitative analysis, model development, validation activities, and risk measurement methodologies. The position provides subject matter expertise on complex financial, credit, operational, and enterprise risk analytics, helping ensure effective risk identification, monitoring, and mitigation. This role partners across business units to develop data-driven insights that strengthen decision-making and support regulatory and governance requirements. The position contributes to the organization's strategic objectives by enhancing risk transparency, forecasting capability, and overall risk management effectiveness.

Here’s what you can expect from the job and what you need to be successful:  

What You'll Do: 

  • Support the design, development, implementation, and ongoing enhancement of CECL models used to estimate expected credit losses across consumer, commercial, mortgage, and other lending portfolios.
  • Lead the development, enhancement, and maintenance of quantitative credit risk models, methodologies, and analytical tools used to measure and monitor portfolio‑level and enterprise risks.
  • Perform advanced statistical, econometric, and predictive analyses to identify emerging risks, evaluate portfolio performance, and inform strategic decision-making.
  • Design and execute stress testing, scenario analysis, sensitivity analysis, and forecasting exercises to assess risk exposure under varying economic and business conditions.
  • Analyze large and complex datasets to identify trends, anomalies, and key risk drivers, delivering actionable insights to business leaders and risk committees.
  • Evaluate model performance, conduct outcome monitoring and back testing, and recommend enhancements to ensure analytical methodologies remain effective, accurate, and compliant with governance standards.
  • Collaborate with business stakeholders, finance, compliance, audit, and risk management teams to support enterprise risk assessments and strategic initiatives.
  • Prepare and present quantitative analyses, credit risk reports, and executive-level materials that clearly communicate complex technical findings to non-technical audiences.
  • Support regulatory examinations, internal audits, model governance activities, and validation reviews by providing thorough documentation and analytical justification.
  • Serve as a technical resource and subject matter expert for quantitative credit risk methodologies, mentoring junior analysts and providing guidance on analytical best practices.
  • Identify opportunities to improve data quality, reporting automation, analytical efficiency, and risk measurement capabilities through process enhancements and innovative solutions.

Essential Skills:

  • Required Education: Bachelors degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree)
  • 6+ years of relevant experience is required
  • Strong knowledge of quantitative risk management principles, statistical modeling, forecasting techniques, and risk measurement methodologies.
  • Experience supporting and administering CECL models and expected credit loss methodologies for consumer, mortgage, or commercial portfolios.
  • Advanced proficiency in SQL and experience working with large datasets.
  • Proficiency in Python, R, SAS, MATLAB, or other analytical programming languages.
  • Experience with statistical analysis, predictive modeling, and machine learning techniques.
  • Knowledge of credit risk, operational risk, market risk, liquidity risk, or enterprise risk management frameworks.
  • Strong understanding of model governance standards, validation practices, and regulatory expectations.
  • Experience developing dashboards and reporting solutions using tools such as Power BI, Tableau, or similar platforms.
  • Exceptional analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills with the ability to present complex analyses to varied audiences.
  • Ability to influence decisions and collaborate effectively across multiple business functions.

Location: Hillsboro, OR | Marlborough/Chelmsford, MA

Target Compensation: $116,500 - $140,000 + annual bonus

Schedule: Monday – Friday | 8am-5pm (Hybrid)


Who We Are:
What makes First Tech different? Click here to learn more!
Every great journey begins with a bold idea—and ours is no different. First Tech and DCU were founded on the belief that financial solutions should put people first. That belief has fueled decades of innovation and service, rooted in the tech sector and expanding to support members from all walks of life.
Employees are eligible for:
• Traditional medical, dental, and vision coverage
• Generous 401(k) match
• Paid Time Off: You'll accrue up to 15 days in your first year. In addition, you'll receive 40 hours of sick time and 3 personal days, which refresh annually
• Paid federal holidays
• Special employee pricing on lending products such as mortgage, auto, and personal loans (eligibility subject to standard account requirements and underwriting criteria)
Employment Statements:
First Tech is an equal opportunity employer, and we value diversity, inclusion, and equity at our company. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
If you're applying for a job and need a reasonable accommodation for any part of the employment process, please send an email to recruiters@firsttechfed.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
First Tech is not currently offering Visa transfer/sponsorship for this position.