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Model Risk Manager Jobs in Portland, OR (NOW HIRING)

Columbia Banking System, Inc.

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 ...

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Showing results 21-40

All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Portland, OR

Model Risk Manager information

See Portland, OR salary details

$54.8K

$118.7K

$180.9K

How much do model risk manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for model risk manager in Portland, OR is $118,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $137,200.00 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 Portland, OR look for?

The top searched job categories for Model Risk Manager jobs in Portland, OR are:

Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Portland, OR as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $118,306 per year, or $56.9 per hour.

Information Risk Analyst - AI

Portland, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees
Learn more about BizTek People, Inc. | APA International Placement Consultantsexternal

Contractor

Re-posted 7 days ago

Job description


Title: Information Risk Analyst - AI
Duration: 12 Months - (Possible Extensions)
Location: Portland, OR - Remote
Work Hours: 8-5 PST
Job Description
  • The AI Information RiskAnalyst will be responsible for identifying, evaluating, and mitigatingrisks associated with the use of generative AI technologies in ourorganization. This role requires a blend of technical expertise,analytical skills, and strong ethical judgment to ensure that our AIinitiatives are both effective and compliant with regulatory standards.
  • 5 IRM team members whoperform Risk assessments for applications and projects. Standardapplications are used in daily tasks
  • Will be supporting theanalysis AI products (Anthropic Model Claude 3 and Microsoft Azure GPT 4)and Compnay applications (a Generative AI application implementationwith sub bots serving specific business areas)
  • Above mentioned models arebeing used within Company internal VPC with no access to internet.
  • A Security Analyst orInformation Risk Analyst with exposure, training, and maybe 1-2 projectscould meet this need
  • Working with project teamanalyzing use cases for AI implementation. This person will embed with theChatAI project team daily to understand the security needs for theupcoming roadmap items and will be a liaison to communicate any securityrequirements.

Key Responsibilities
  • Conduct comprehensive riskassessments of generative AI systems, identifying potentialvulnerabilities and threats.
  • Collaborate withcross-functional teams to design and implement robust AI securitymeasures.
  • Ensure compliance withrelevant legal, regulatory, and industry standards related to AI and dataprivacy.
  • Develop and maintain riskmanagement frameworks and policies specific to AI applications.
  • Perform regular audits andassessments to monitor the effectiveness of risk mitigation strategies.
  • Provide expert guidance on AIethics and responsible AI practices.
  • Prepare detailed reports andpresentations on risk assessment findings and recommendations for seniormanagement.
  • Stay updated with the latestadvancements in AI, cybersecurity, and risk management practices.

Requirements
REQUIREMENTS
  • Utilities experience notrequired but good to have.
  • Education Requirements(Experience in Lieu of Degree): Any AI certifications
  • Certification Requirements(Any Preferences): CIAP (nice to have)
  • How many years of experienceare you looking for? 5-10 of risk experience, 2 years AI

Top 3 Must-Haves (Hard and/or Soft Skills)
  • Understanding of AI/MLconcepts, algorithms, and models.
  • In-depth familiarity withcybersecurity principles and practices.
  • Understanding of ITinfrastructure, cloud platforms (AWS, Azure, Google Cloud), and theirsecurity protocols.

Top 3 Nice-To-Haves (Hard and/or Soft Skills)
  • Ability to think analyticallyand critically about potential risks.
  • Ability to work effectivelywith cross-functional teams, including data scientists, IT professionals,legal advisors, and business leaders.
  • Strong sense of ethics andresponsibility regarding AI deployment and its societal impacts.

Apply