Quantitative Risk Analyst
MethodHub
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Tualatin, OR
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Mid-Senior level
Posted April 5, 2026
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Responsibilities
Commitments
Responsibilities
- Lead the development, validation, and enhancement of quantitative risk models to evaluate exposures, trading limits, and portfolio performance.
- Deliver timely and accurate production reporting, including daily risk and position insights for stakeholders and leadership.
- Analyze complex energy contracts and translate business terms into structured system inputs and risk frameworks.
- Partner with trading, portfolio management, and finance teams to provide data-driven insights on risk, pricing, and investment decisions.
- Identify gaps or inefficiencies in reporting processes and recommend improvements to systems, tools, and workflows.
- Support valuation and pricing analysis for structured energy products and long-term agreements.
- Apply and interpret key risk metrics (e.g., Value at Risk, Mark-to-Market) to assess financial and operational exposure.
- Conduct statistical and quantitative analysis to support hedging strategies and market-based decision making.
- Communicate findings clearly to both technical and non-technical stakeholders, including senior leadership.
- Ensure alignment with internal risk policies, procedures, and governance frameworks.
Commitments
Principal Risk Analyst Location: Tualatin, Oregon (hybrid - onsite 3 days a week ) Duration: 8 months Our client is seeking a seasoned Principal Risk Analyst to support advanced risk modeling, reporting, and decision support within a highly dynamic and evolving energy environment.
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Requirements
- 8+ years of experience in quantitative risk analysis, preferably within energy, utilities, or commodity markets.
- Strong understanding of North American power and/or natural gas markets, including renewables exposure.
- Experience with energy trading and risk management platforms (e.g., Endur or similar systems).
- Advanced proficiency in Excel and strong experience with Python or similar analytical tools.
- Demonstrated expertise in statistical modeling techniques such as time series analysis, regression, or optimization.
- Experience working with data visualization and reporting tools (e.g., Power BI, Tableau).
- Ability to interpret complex datasets and translate findings into actionable business insights.
- Strong communication skills with the ability to influence and collaborate across diverse teams.
- Proven ability to operate effectively in ambiguous environments and manage competing priorities.
- Top 3 Must-Haves (Hard and/or Soft Skills): 1.Navigating 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
Preferred Skills
- 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.
Education
- (Not required) – Bachelor’s degree in finance, economics, engineering, statistics, or a related field; advanced degree preferred.
Principal Risk Analyst Location: Tualatin, Oregon (hybrid - onsite 3 days a week ) Duration: 8 months Our client is seeking a seasoned Principal Risk Analyst to support advanced risk modeling, reporting, and decision support within a highly dynamic and evolving energy environment. This role partners closely with cross-functional teams to translate complex market dynamics into actionable insights, helping leadership navigate uncertainty and optimize performance. The ideal candidate is analytical, adaptable, and confident operating in ambiguous, data-driven environments. Responsibilities
Lead the development, validation, and enhancement of quantitative risk models to evaluate exposures, trading limits, and portfolio performance.
Deliver timely and accurate production reporting, including daily risk and position insights for stakeholders and leadership.
Analyze complex energy contracts and translate business terms into structured system inputs and risk frameworks.
Partner with trading, portfolio management, and finance teams to provide data-driven insights on risk, pricing, and investment decisions.
Identify gaps or inefficiencies in reporting processes and recommend improvements to systems, tools, and workflows.
Support valuation and pricing analysis for structured energy products and long-term agreements.
Apply and interpret key risk metrics (e.g., Value at Risk, Mark-to-Market) to assess financial and operational exposure.
Conduct statistical and quantitative analysis to support hedging strategies and market-based decision making.
Communicate findings clearly to both technical and non-technical stakeholders, including senior leadership.
Ensure alignment with internal risk policies, procedures, and governance frameworks. Qualifications
Bachelor’s degree in finance, economics, engineering, statistics, or a related field; advanced degree preferred.
8+ years of experience in quantitative risk analysis, preferably within energy, utilities, or commodity markets.
Strong understanding of North American power and/or natural gas markets, including renewables exposure.
Experience with energy trading and risk management platforms (e.g., Endur or similar systems).
Advanced proficiency in Excel and strong experience with Python or similar analytical tools.
Demonstrated expertise in statistical modeling techniques such as time series analysis, regression, or optimization.
Experience working with data visualization and reporting tools (e.g., Power BI, Tableau).
Ability to interpret complex datasets and translate findings into actionable business insights.
Strong communication skills with the ability to influence and collaborate across diverse teams.
Proven ability to operate effectively in ambiguous environments and manage competing priorities. Top 3 Must-Haves (Hard and/or Soft Skills): 1.Navigating 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
Lead the development, validation, and enhancement of quantitative risk models to evaluate exposures, trading limits, and portfolio performance.
Deliver timely and accurate production reporting, including daily risk and position insights for stakeholders and leadership.
Analyze complex energy contracts and translate business terms into structured system inputs and risk frameworks.
Partner with trading, portfolio management, and finance teams to provide data-driven insights on risk, pricing, and investment decisions.
Identify gaps or inefficiencies in reporting processes and recommend improvements to systems, tools, and workflows.
Support valuation and pricing analysis for structured energy products and long-term agreements.
Apply and interpret key risk metrics (e.g., Value at Risk, Mark-to-Market) to assess financial and operational exposure.
Conduct statistical and quantitative analysis to support hedging strategies and market-based decision making.
Communicate findings clearly to both technical and non-technical stakeholders, including senior leadership.
Ensure alignment with internal risk policies, procedures, and governance frameworks. Qualifications
Bachelor’s degree in finance, economics, engineering, statistics, or a related field; advanced degree preferred.
8+ years of experience in quantitative risk analysis, preferably within energy, utilities, or commodity markets.
Strong understanding of North American power and/or natural gas markets, including renewables exposure.
Experience with energy trading and risk management platforms (e.g., Endur or similar systems).
Advanced proficiency in Excel and strong experience with Python or similar analytical tools.
Demonstrated expertise in statistical modeling techniques such as time series analysis, regression, or optimization.
Experience working with data visualization and reporting tools (e.g., Power BI, Tableau).
Ability to interpret complex datasets and translate findings into actionable business insights.
Strong communication skills with the ability to influence and collaborate across diverse teams.
Proven ability to operate effectively in ambiguous environments and manage competing priorities. Top 3 Must-Haves (Hard and/or Soft Skills): 1.Navigating 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