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Model Risk Management Jobs in Oregon (NOW HIRING)

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 ...

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 ...

Actuary - RP Modeling

Portland, OR · Remote

$123K - $145K/yr

... risk management, business planning, and strategic initiatives. * Lead model development efforts for new business opportunities, product enhancements, and evolving regulatory requirements. * Perform ...

Actuary - RP Modeling

OR · On-site +1

$116K - $136K/yr

... risk management, business planning, and strategic initiatives. * Lead model development efforts for new business opportunities, product enhancements, and evolving regulatory requirements. * Perform ...

IT Manager

Tigard, OR · On-site

$90K/yr

Cascade Management's Service Model is the foundation of everything we do andis expected to be ... Cybersecurity & Risk Management * Serve as the primary lead for IT security operations.

IT Manager

Tigard, OR · On-site

$100K - $123K/yr

Cascade Management's Service Model is the foundation of everything we do and is expected to be ... Cybersecurity & Risk Management · Serve as the primary lead for IT security operations. * · ...

IT Manager

Tigard, OR · On-site

$100K - $123K/yr

Cascade Management's Service Model is the foundation of everything we do and is expected to be ... Cybersecurity & Risk Management • Serve as the primary lead for IT security operations. * • ...

Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them. Security & Compliance Focus: hands-on ...

Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them. * Security & Compliance Focus: hands-on ...

Showing results 41-60

Model Risk Management information

See Oregon salary details

$38.6K

$87K

$145.9K

How much do model risk management jobs pay per year?

As of Sep 10, 2026, the average yearly pay for model risk management in Oregon is $87,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a model risk management?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What are some common challenges faced by professionals in model risk management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What are the key skills and qualifications needed to thrive in model risk management, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What does a model risk management do?

A model risk management professional oversees the identification, assessment, and mitigation of risks associated with financial and operational models. They ensure models are accurate, reliable, and compliant with regulations, often using validation tools and statistical analysis. This role helps prevent financial loss and supports decision-making processes within organizations.

What are the most commonly searched types of Model Risk Management jobs in Oregon?

The most popular types of Model Risk Management jobs in Oregon are:

What are popular job titles related to Model Risk Management jobs in Oregon?

For Model Risk Management jobs in Oregon, the most frequently searched job titles are:

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

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

Infographic showing various Model Risk Management job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $87,046 per year, or $41.8 per hour.

Product Quality Manager, Home Lending & Auto

OR • On-site, Remote

Full-time

Re-posted 3 days ago


Key responsibilities

  • Lead execution of the secured lending quality control program across origination, servicing, and collections, including reviews and compliance testing

  • Oversee QC sampling methodology and ensure risk-based, statistically sound sample selection

  • Develop quality reporting, dashboards, and trend analyses for senior leadership


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team: 

Upstart's Secured Lending Quality team is responsible for building and operating the first line of defense quality control program across Upstart's secured lending products, including Home Lending and Auto Lending. The team ensures loans meet high standards for accuracy, compliance, and salability through a multi-layered quality framework spanning origination, servicing, collections, and non-performing loan monitoring. The team operates independently from production management, providing credible challenges to the business while using AI-powered technology to deliver scalable, examination-ready quality assurance.

As the Secured Lending Quality Manager, you will lead quality control execution across the secured product portfolio, including pre-close and post-close reviews, compliance monitoring and testing, servicing and collections quality reviews, non-performing loan reviews, and investor defect analysis. You will serve as a key leader in strengthening Upstart's quality infrastructure, partner closely with Operations, Compliance, Legal, and Risk, and help scale a modern, data-driven quality program in a fast-moving lending environment. This is an opportunity for an experienced quality leader who is energized by building programs from the ground up and improving how quality is measured, monitored, and operationalized across the secured lending lifecycle.

How you'll make an impact

  • Lead execution of Upstart's secured lending quality control program across origination, servicing, and collections, including pre-close and post-close reviews, compliance testing, denied/withdrawn application reviews, investor defect analysis, and non-performing loan reviews
  • Oversee QC sampling methodology and ensure risk-based, statistically sound sample selection aligned with regulatory expectations
  • Serve as product owner for the QC Engine, including rule approval, output validation, threshold calibration, and performance reporting
  • Drive root cause analysis and remediation for defect trends, investor kickouts, repurchase demands, early payment defaults, and other quality issues
  • Develop quality reporting, dashboards, and trend analyses for senior leadership, including defect trends, escape rates, cure rates, sampling coverage, and corrective action status
  • Prepare the Quality function for audits and regulatory exams through strong documentation, evidence management, and examination-ready processes
  • Partner with Operations, Compliance, Legal, Risk, and servicing teams to align on quality standards, escalation paths, and remediation timelines
  • Oversee third-party, subservicer, servicing, and collections quality reviews, including compliance with applicable consumer lending requirements
  • Support model risk monitoring through quality reviews tied to credit decisioning, adverse action accuracy, and early default trends

Minimum Qualifications 

  • 7+ years of experience in quality control, compliance testing, or risk management in consumer lending, including secured lending products such as mortgage, home equity, or auto
  • 2+ years of experience leading a QC team or managing quality analysts or auditors
  • Experience conducting pre-close and post-close file reviews, defect identification, root cause analysis, and corrective action management
  • Experience with regulatory exams and responses involving agencies such as the OCC, FDIC, CFPB, or state regulators
  • Experience designing or implementing QC sampling methodologies, including random and risk-based sampling
  • Experience with non-performing loan reviews, early default analysis, repurchase reviews, or servicing quality oversight
  • Working knowledge of key consumer lending regulations applicable to secured products
  • Bachelor's degree or equivalent practical experience

Preferred Qualifications

  • Experience with AI-powered or automated QC tools
  • Experience with investor delivery requirements, repurchase demands, or loan buybacks
  • Experience with third-party and subservicer oversight frameworks
  • Experience building dashboards, executive reporting, or board-ready quality materials
  • Ability to translate complex regulatory requirements into practical QC procedures and testing frameworks
  • Strong cross-functional communication skills in a fast-paced lending environment

Position location This role is available in the following locations: Remote 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-MidSenior 


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