1

Internship Quantitative Risk Modeler Jobs in Portland, OR

Demonstrated experience developing and maintaining risk registers, conducting quantitative and ... Experience with Monte Carlo simulation, risk modeling tools, and enterprise risk management ...

New

Demonstrated experience developing and maintaining risk registers, conducting quantitative and ... Experience with Monte Carlo simulation, risk modeling tools, and enterprise risk management ...

New

Prepare and maintain comprehensive documentation for mid office models and processes. In addition ... A minimum of three years of related experience in a quantitative or analytical role. * Proficient ...

Prepare and maintain comprehensive documentation for mid office models and processes. In addition ... A minimum of three years of related experience in a quantitative or analytical role. * Proficient ...

Prepare and maintain comprehensive documentation for mid office models and processes. In addition ... A minimum of three years of related experience in a quantitative or analytical role. * Proficient ...

NIKE, Inc. Finance Graduate Internship

Beaverton, OR ยท On-site

$18.50 - $24.25/hr

Their work directly informs how Nike allocates resources, manages risk, and delivers against ... quantitative and qualitative insights, including experience with financial and/or valuation models ...

next page

Showing results 1-20

Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

What job categories do people searching Internship Quantitative Risk Modeler jobs in Portland, OR look for? The top searched job categories for Internship Quantitative Risk Modeler jobs in Portland, OR are:
What cities near Portland, OR are hiring for Internship Quantitative Risk Modeler jobs? Cities near Portland, OR with the most Internship Quantitative Risk Modeler job openings:

Contractor

Posted 18 days ago


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 Risk Management running and analyzing operational report. Work with Power Operation on assessing trading risk limits and assessments. development of new quantitative models, validating and/or enhancing existing models, and assisting internal partners and staff in understanding and using the models for effective risk analysis and decision making.
  • Providing analytical for trading, portfolio management, origination, energy market risk, credit risk and finance; interpreting and sharing qualitative insights and feedback from commercial teams into quantifiable terms to help improve performance.
  • Independently initiating and analyzing surrounding optimization in competitive markets, stochastic simulations, and the interplay between zero- or low-marginal cost resources and traditional energy generators.
  • Identifying and implementing effective approaches to quantitatively evaluate energy infrastructure benefits and costs, as well as risks and risk mitigation.
  • Design complex valuation and price models for structured products including tolling agreements, PPA agreements, full requirements/load-following deals, shaped products, revenue puts, exotic options (swaptions, basket options, look-back options, heat rate options, etc.), weather derivatives, unit contingency, etc.
  • Understand risk metrics models such as Value at Risk (VaR), Mark to Market, Gross Margin at Risk (GMaR).
  • Proposing and implementing portfolio and asset optimization frameworks. Will build bespoke frameworks for exploring, designing, and deploying systematic portfolio strategies, including generation asset optimization, natural gas storage and transportation optimization, cross-commodity hedge optimization (optimal hedge ratio) and FTR hedging/bidding optimization.
  • Leading quantitative research and modeling tasks related to macro industry trends, energy markets, ancillary services, capacity markets and commercial activities using tools such as artificial intelligence, machine learning, game theory, supply and demand and price simulation models, probabilistic models, option valuation tools, and portfolio characteristic desk tools.
  • Provide statistical analysis and quantitative tools for trading and hedging purposes, including model commodity data for specific markets and produce ad hoc analysis based on short-term market developments.
  • Communicating effectively and influentially to diverse audiences about modeling methodologies, analyses and results in business practical terms that include a focus on the "why."
  • When needed, providing expert witness testimony for market and regulatory proceedings.
  • Make decision using the existing Risk Management Policy and Procedure framework.

Requirements
Requirements
  • BS or MS discipline (engineering, statistics, science discipline, economics).
  • How many years of experience are you looking for?: 3 - 4 + years in a similar role within the energy industry
  • Have a broad background in energy and quantitative risk analysis in North America with a focus on power, natural gas, and renewables.
  • BS or MS - discipline (engineering, statistics, science discipline, economics, and finance).
  • Bring 3 - 4 or more years of experience in a quantitative role within the energy industry or directly related academic setting with application in the energy industry. Experience with wholesale power and/or gas markets and quantitative energy trading experience is preferred.
  • Have developed expertise in at least one of the following techniques: time series analysis, advanced regression and econometric techniques, advanced optimization techniques leveraging commercial solvers.
  • Strong competence in communication
  • Experience with Production Cost Modeling
  • Advanced Microsoft Office Suite skills (Word, PowerPoint, Excel).
  • Ability to communicate and work with different organizations outside of risk management.
  • Experience with Endur ETRM is a 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