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

This individual needs to have excellent quantitative and analytical skills, along with the ... Implement an overall risk management process for the organization * Prepare risk registers for key ...

This individual needs to have excellent quantitative and analytical skills, along with the ... Implement an overall risk management process for the organization * Prepare risk registers for key ...

Demonstrated experience developing and maintaining risk registers, conducting quantitative and ... Experience managing and reporting on program-level risks, including quantifiable impacts across ...

Credit Risk Analyst

Tigard, OR · On-site

$90K - $120K/yr

... quantitative, qualitative, and combined scoring methodology.Support the maintenance of the Bank ... Work with Model Risk Management to ensure models are validated and remediate any findings.Develop ...

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Quantitative Risk Manager information

See Portland, OR salary details

$54.8K

$118.7K

$180.9K

How much do quantitative risk manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative 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 is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a quantitative risk manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

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

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are popular job titles related to Quantitative Risk Manager jobs in Portland, OR?

For Quantitative Risk Manager jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Portland, OR look for?

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

Infographic showing various Quantitative Risk Manager job openings in Portland, OR as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,306 per year, or $56.9 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.