Principal Risk Analyst
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Job Location:
Tualatin, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Principal Risk Analyst
Location (On-site Remote or Hybrid): Tualatin OR (Onsite)
Contract Duration: Contract until 12/31/2026
Location (On-site Remote or Hybrid): Tualatin OR (Onsite)
Contract Duration: Contract until 12/31/2026
Job Description:
ESSENTIAL JOB RESPONSIBILITIES
The western energy sector is undergoing rapid and complex transformation driven by regulatory policy data center growth technological change and social and climate this role you will help senior leadership and key business partners understand quantify and act on uncertainty in an increasingly complex and data driven environment.
ESSENTIAL JOB RESPONSIBILITIES
The western energy sector is undergoing rapid and complex transformation driven by regulatory policy data center growth technological change and social and climate this role you will help senior leadership and key business partners understand quantify and act on uncertainty in an increasingly complex and data driven environment.
Key responsibilities include:
Support Power Operations Risk Management teams including running and analyzing operational reports. Collaborate with Power Operations to assess trading risk limits evaluate exposures develop new quantitative models validate or enhance existing models and support internal partners in applying these models for effective risk analysis and decision making.
Run production reporting processes to ensure smooth and efficient flow of End of Day.
Troubleshoot production reporting systems and learn to identify communicate and track the status of issues when they come up.
Suggest improvement to existing operational systems based on knowledge of energy market risk systems and End of Day functions.
Provide analytical support for trading portfolio management origination energy market risk credit risk and finance. Translate qualitative insights from commercial teams into quantitative terms to improve performance.
Learn and support quantitative approaches to evaluate the benefits costs risks and risk mitigation strategies associated with energy infrastructure.
Support new and review existing complex valuation and pricing models for structured products such as tolling agreements PPAs full requirements/load following deals shaped products revenue puts exotic options (swaptions basket options look back options heat rate options) weather derivatives and unit contingency products.
Learn apply and interpret risk metric models including Value at Risk (VaR) Mark to Market and Gross Margin at Risk (GMaR).
Support statistical analysis and quantitative tools for trading and hedging including commodity data modeling and ad hoc analysis based on short term market developments.
Communicate modeling methodologies and results clearly and persuasively to diverse audiences emphasizing practical business implications and the why behind the analysis.
Make suggestions in alignment with the existing Risk Management Policy and Procedure framework.
Support Power Operations Risk Management teams including running and analyzing operational reports. Collaborate with Power Operations to assess trading risk limits evaluate exposures develop new quantitative models validate or enhance existing models and support internal partners in applying these models for effective risk analysis and decision making.
Run production reporting processes to ensure smooth and efficient flow of End of Day.
Troubleshoot production reporting systems and learn to identify communicate and track the status of issues when they come up.
Suggest improvement to existing operational systems based on knowledge of energy market risk systems and End of Day functions.
Provide analytical support for trading portfolio management origination energy market risk credit risk and finance. Translate qualitative insights from commercial teams into quantitative terms to improve performance.
Learn and support quantitative approaches to evaluate the benefits costs risks and risk mitigation strategies associated with energy infrastructure.
Support new and review existing complex valuation and pricing models for structured products such as tolling agreements PPAs full requirements/load following deals shaped products revenue puts exotic options (swaptions basket options look back options heat rate options) weather derivatives and unit contingency products.
Learn apply and interpret risk metric models including Value at Risk (VaR) Mark to Market and Gross Margin at Risk (GMaR).
Support statistical analysis and quantitative tools for trading and hedging including commodity data modeling and ad hoc analysis based on short term market developments.
Communicate modeling methodologies and results clearly and persuasively to diverse audiences emphasizing practical business implications and the why behind the analysis.
Make suggestions in alignment with the existing Risk Management Policy and Procedure framework.
CANDIDATE ATTRIBUTES
Success in this role requires a blend of technical expertise market awareness strong communication skills and the ability to quickly build trust by understanding the firms risk posture and delivering actionable insights. Performance will be measured by strategic impact quality of analytical reports identification and explaining of risks and mitigation strategies sound decision making and clear communication of information to stakeholders.
Strong candidates will:
Demonstrate seasoned professional maturity and sound judgment including the ability to navigate ambiguous requests recognize when to seek guidance leverage subject matter experts across the organization and prepare and deliver clear well-structured communications for senior and executive audiences.
Have broad experience in North American energy markets and quantitative risk analysis with a focus on power natural gas and renewables.
Hold a BS or MS in engineering statistics a scientific discipline economics finance or a related field.
Bring 8 years of experience in a analytical role within the energy industry or in an academic setting with direct application to energy markets. Experience in wholesale power and/or gas markets or quantitative trading is preferred.
Have expertise in at least one of the following: time series analysis advanced regression/econometrics or advanced optimization techniques using commercial solvers.
Have experience with Production Cost Modeling.
Demonstrate advanced proficiency in Microsoft Office (Word PowerPoint Excel).
Be able to communicate and collaborate effectively with teams outside of risk management.
Experience with Endur ETRM is a plus.
Success in this role requires a blend of technical expertise market awareness strong communication skills and the ability to quickly build trust by understanding the firms risk posture and delivering actionable insights. Performance will be measured by strategic impact quality of analytical reports identification and explaining of risks and mitigation strategies sound decision making and clear communication of information to stakeholders.
Strong candidates will:
Demonstrate seasoned professional maturity and sound judgment including the ability to navigate ambiguous requests recognize when to seek guidance leverage subject matter experts across the organization and prepare and deliver clear well-structured communications for senior and executive audiences.
Have broad experience in North American energy markets and quantitative risk analysis with a focus on power natural gas and renewables.
Hold a BS or MS in engineering statistics a scientific discipline economics finance or a related field.
Bring 8 years of experience in a analytical role within the energy industry or in an academic setting with direct application to energy markets. Experience in wholesale power and/or gas markets or quantitative trading is preferred.
Have expertise in at least one of the following: time series analysis advanced regression/econometrics or advanced optimization techniques using commercial solvers.
Have experience with Production Cost Modeling.
Demonstrate advanced proficiency in Microsoft Office (Word PowerPoint Excel).
Be able to communicate and collaborate effectively with teams outside of risk management.
Experience with Endur ETRM is a plus.
Is utilities experience required (Y/N) Yes
Education Requirements (Experience in Lieu of Degree):
Bachelor degree in related field or 8 or more years in a financial risk role preferably at a utility
Bachelor degree in related field or 8 or more years in a financial risk role preferably at a utility
Can you give a high-level overview of your team size roles its initiatives/deliverables and any tool/technologies specific to your team/department/project they will be supporting:
Team is split between operational analysts and quant data analysts. Two operational FTEs along with two quant FTEs that we work closely with. We work with ION Endur and use Excel VBA python Power BI Tableau Snowflake. We produce price risk and volumetric risk-based position reports utilizing a standardized production reporting process with the tool listed above.
These reports are in Tableau and we are migrating to Power BI and will need support. We then present these reports daily at 8am Pacific Time to front office and other stakeholders.
What would a day in the life of this role look like:
Running production-based reporting understanding the process knowing when to ask for support. Analyzing complex contracts translating contract terms in to Endur deal level detail.
Running production-based reporting understanding the process knowing when to ask for support. Analyzing complex contracts translating contract terms in to Endur deal level detail.
Top 3 Must-Haves (Hard and/or Soft Skills):
ambiguity
2. Endur experience
3. Advanced knowledge of risk management concepts
ambiguity
2. Endur experience
3. Advanced knowledge of risk management concepts
Top 3 Nice-To-Haves (Hard and/or Soft Skills)
1. Advanced financial modeling skills and experience using Microsoft Excel or Python
2. Expert knowledge of enterprise/business acumen
3. Expert written and oral communication skills
1. Advanced financial modeling skills and experience using Microsoft Excel or Python
2. Expert knowledge of enterprise/business acumen
3. Expert written and oral communication skills
How many years of experience are you looking for: Preferably 8 or more years experience
What is your preference when interviewing candidates (Phone In Person Teams): In person or MS Teams
