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Quantitative Risk Analyst Intern Jobs in Oregon (NOW HIRING)

By establishing and running a centralized, quantitative risk monitoring program for Upstart Bank ... Provide data and analytical support for enterprise risk assessments, management and board reporting ...

... other risk reports through strict adherence to established processes and controls. * Perform ... A minimum of three years of related experience in a quantitative or analytical role. * Proficient ...

... other risk reports through strict adherence to established processes and controls.\ * Perform ... A minimum of three years of related experience in a quantitative or analytical role. * Proficient ...

... other risk reports through strict adherence to established processes and controls.\ * Perform ... A minimum of three years of related experience in a quantitative or analytical role. * Proficient ...

$130K - $150K/yr

We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote ... risk assessment. Ensure models are efficient, transparent, and suitable for deployment in ...

Strong foundation in quantitative analysis and data modeling. Travel and Location * No travel ... An intern's pay will be based on several factors including, but not limited to, relevant education ...

Strong foundation in quantitative analysis and data modeling. Travel and Location * No travel ... An intern's pay will be based on several factors including, but not limited to, relevant education ...

OR ยท On-site

$60K/yr

About the position: We are looking for a Data & Analytics Summer Intern to help mature our ... highly quantitative field. The annual gross base salary range for this position is $60,000 ...

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Quantitative Risk Analyst Intern information

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst Intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a Quantitative Risk Analyst Intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use software like Excel, R, or Python to support risk management strategies in financial or insurance firms.

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

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a Quantitative Risk Analyst Intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.
What job categories do people searching Quantitative Risk Analyst Intern jobs in Oregon look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Oregon are:
Infographic showing various Quantitative Risk Analyst Intern job openings in Oregon as of June 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

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Job description

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