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Quantitative Risk Management Jobs in Oregon (NOW HIRING)

Upstart

Manager, Treasury Risk

OR · On-site +1

Bachelor's degree or equivalent practical experience in finance, economics, mathematics, or a related quantitative field * 5+ years of experience in Treasury risk management, asset-liability ...

Treliant LLC

Consultant, Risk Management

$75 - $150/hr

... quantitative and qualitative analyses across a range of compliance and risk management consulting projects. Candidates should have demonstrated experience in the financial services industry ...

Upstart

Credit Risk Manager

OR · On-site +1

... quantitative field (or equivalent practical experience). * 7+ years of experience in consumer credit risk management, portfolio analytics, or credit risk oversight. * Experience analyzing credit ...

Upstart

OR

... quantitative field. * 5+ years of experience in investment management, portfolio management ... and risk. * Experience supporting investor relationships, settlements, or reporting for ...

Cotiviti

Determine aspects of model drift and related data drift for the purpose of model risk management ... Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

Cotiviti

Determine aspects of model drift and related data drift for the purpose of model risk management ... Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

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All JobsQuantitative Risk Management JobsQuantitative Risk Management Jobs in Oregon

Quantitative Risk Management information

See Oregon salary details

$54.5K

$117.9K

$179.7K

How much do quantitative risk management jobs pay per year?

As of Jul 29, 2026, the average yearly pay for quantitative risk management 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 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 skills, expertise in statistics or mathematics, and typically a degree in finance, economics, or a quantitative discipline. Familiarity with risk modeling software, programming languages like Python or R, and industry certifications such as FRM or CFA is often required. Outstanding problem-solving abilities, attention to detail, and effective communication set top professionals apart in this role. These skills are crucial for accurately assessing financial risks, making informed decisions, and communicating complex findings to stakeholders.

What is quantitative risk management?

Quantitative risk management is the process of using mathematical models, statistical techniques, and data analysis to identify, measure, and manage financial risks within an organization. Professionals in this field apply quantitative methods to assess potential losses from market movements, credit events, or operational failures, and help organizations make informed decisions to mitigate these risks. This approach is widely used in banking, insurance, asset management, and other financial sectors to ensure regulatory compliance and optimize risk-adjusted returns.

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

AspectQuantitative Risk ManagementQuantitative Analyst
Primary FocusAssessing and managing financial risksDeveloping models for investment strategies
CertificationsFRM, PRMCFA, CQF
Work EnvironmentFinancial institutions, risk departmentsInvestment banks, asset management firms
Key SkillsRisk modeling, regulatory knowledgeStatistical analysis, programming

Quantitative Risk Management focuses on identifying and mitigating financial risks within organizations, often requiring risk-specific certifications like FRM. In contrast, Quantitative Analysts develop models to support trading and investment decisions, emphasizing statistical and programming skills. Both roles are vital in finance but serve different strategic purposes.

How does a Quantitative Risk Management professional typically collaborate with other departments within a financial institution?

Quantitative Risk Management professionals frequently work closely with departments such as trading, finance, and compliance. They provide analytical support by developing risk models and stress-testing scenarios, ensuring that trading strategies and investment decisions align with the institution's risk appetite. Regular communication with IT teams is also common, as these professionals often need to implement or improve risk measurement tools and data systems. This cross-functional collaboration is essential for maintaining a robust risk management framework and responding effectively to emerging risks.
What are popular job titles related to Quantitative Risk Management jobs in Oregon? For Quantitative Risk Management jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Management jobs in Oregon look for? The top searched job categories for Quantitative Risk Management jobs in Oregon are:
Quantitative Risk Management jobs near you
Infographic showing various Quantitative Risk Management job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $117,947 per year, or $56.7 per hour.

Senior Principal Risk Analyst

BizTek People, Inc. | APA International Placement Consultants

Tualatin, OR • On-site

Contractor

Re-posted 21 days ago

Job description


Title: Senior/Principal Risk Analyst
Duration: 12 Months
Location: Tualatin, OR - Local Preffered
Open to Remote caniddate from PST or MST time zones.
Description
PGE seeks a Senior or Principal Risk Analyst with energy analytics, quantitative analysis, and fundamentals experience to analyze risk and develop actionable business intelligence for effectively navigating dynamic energy markets. This highly visible position will be at the forefront of modelling and analyzing the evolving future of the power sector and guiding the company's approach to risks and opportunities related to energy infrastructure and market investments. with strong growth possibilities within the organization.
Responsibilities include but are not limited to:
  • Leading Power Operations RiskManagement running and analyzing operational report. Work with PowerOperation on assessing trading risk limits and assessments. development ofnew quantitative models, validating and/or enhancing existing models, andassisting internal partners and staff in understanding and using themodels for effective risk analysis and decision making.
  • Providing analytical fortrading, portfolio management, origination, energy market risk, creditrisk and finance; interpreting and sharing qualitative insights andfeedback from commercial teams into quantifiable terms to help improveperformance.
  • Independently initiating andanalyzing surrounding optimization in competitive markets, stochasticsimulations, and the interplay between zero- or low-marginal costresources and traditional energy generators.
  • Identifying and implementingeffective approaches to quantitatively evaluate energy infrastructurebenefits and costs, as well as risks and risk mitigation.
  • Design complex valuation andprice models for structured products including tolling agreements, PPAagreements, full requirements/load-following deals, shaped products,revenue puts, exotic options (swaptions, basket options, look-backoptions, heat rate options, etc.), weather derivatives, unit contingency,etc.
  • Understand risk metricsmodels such as Value at Risk (VaR), Mark to Market, Gross Margin at Risk(GMaR).
  • Proposing and implementingportfolio and asset optimization frameworks. Will build bespoke frameworksfor exploring, designing, and deploying systematic portfolio strategies,including generation asset optimization, natural gas storage andtransportation optimization, cross-commodity hedge optimization (optimalhedge ratio) and FTR hedging/bidding optimization.
  • Leading quantitative researchand modeling tasks related to macro industry trends, energy markets,ancillary services, capacity markets and commercial activities using toolssuch as artificial intelligence, machine learning, game theory, supply anddemand and price simulation models, probabilistic models, option valuationtools, and portfolio characteristic desk tools.
  • Provide statistical analysisand quantitative tools for trading and hedging purposes, including modelcommodity data for specific markets and produce ad hoc analysis based onshort-term market developments.
  • Communicating effectively andinfluentially to diverse audiences about modeling methodologies, analysesand results in business practical terms that include a focus on the "why."
  • When needed, providing expertwitness testimony for market and regulatory proceedings.
  • Make decision using theexisting Risk Management Policy and Procedure framework.

Requirements
Requirements
  • BS or MS discipline(engineering, statistics, science discipline, economics).
  • How many years of experienceare you looking for?: 3 - 4 + years in a similar role within the energyindustry
  • Have a broad background inenergy and quantitative risk analysis in North America with a focus onpower, natural gas, and renewables.
  • BS or MS - discipline(engineering, statistics, science discipline, economics, and finance).
  • Bring 3 - 4 or more years ofexperience in a quantitative role within the energy industry or directlyrelated academic setting with application in the energy industry.Experience with wholesale power and/or gas markets and quantitative energytrading experience is preferred.
  • Have developed expertise inat least one of the following techniques: time series analysis, advancedregression and econometric techniques, advanced optimization techniquesleveraging commercial solvers.
  • Strong competence incommunication
  • Experience with ProductionCost Modeling
  • Advanced Microsoft OfficeSuite skills (Word, PowerPoint, Excel).
  • Ability to communicate andwork with different organizations outside of risk management.
  • Experience with Endur ETRM isa plus.

Top 3 Must-Haves (Hard and/or Soft Skills):
1. Experience with Production Cost Modeling
2. Experience with wholesale power and/or gas markets
3. Experience with Risk Management System
Top 3 Nice-To-Haves (Hard and/or Soft Skills)
1. Experience with Endur ETRM
2. Advanced Microsoft Office Suite skills (Word, PowerPoint, Excel
3. Experience to translate numbers to actionable plan for coworkers

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