What are the responsibilities and job description for the Senior/Principal Quantitative Risk Analyst position at Portland General Electric?
At PGE, our work involves dreaming about, planning for, and realizing a smarter, cleaner, more enduring Oregon neighborhood. Its core to our DNA and we haven’t stopped since we started in 1888. We energize lives, strengthen communities and drive advancements in energy that promote social, economic and environmental progress. We’re always on the lookout for people passionate about leading and being a part of teams that are advancing innovative clean energy solutions that are also affordable and accessible to all.
Summary
PGE seeks a talented quantitative analyst with energy analytics and modeling experience to support PGE Energy Supply, Trading Analytics. The Senior/Principal Quantitative Risk Analyst takes a leadership role in communicating data-informed strategy and reports to the Manager, Market Fundamentals and Trading Analytics in Power Operations.
This role is ideal for a candidate who thrives in a fast-paced trading environment, has a strong technical background, is comfortable building and automating data solutions from scratch, and has curiosity and passion about the electric utility business. The ideal candidate is resourceful and capable of quickly turning market insights into actionable tools for traders and leadership.
Key Responsibilities
Business Partnership and Thought Leadership Supports senior leadership and key business partners in navigating uncertainty in an increasingly complex, data-driven energy landscape. Applies quantitative insights and analytics tools to enhance decision-making in trading, hedging, and portfolio management. Collaborates across teams to foster transparency and efficiency in portfolio analysis.
Quantitative Modeling and Portfolio Risk Optimization Develops and maintains risk models and valuation frameworks for structured products, generation assets, and portfolio hedging strategies. Leverages statistical techniques (VaR, GMaR, stress testing, backcasting) to enhance models, providing traders and portfolio managers with insights for market decisions.
Data Engineering and Automation Independently sources, integrates, and structures internal and external datasets to support analytics and decision-making. Builds and maintains custom data pipelines and automated workflows, ensuring data accessibility for trading and leadership teams.
Data Visualization & Communication Develops and maintains Tableau dashboards and automated reporting tools to ensure quantitative insights are accessible for diverse audiences. Translates complex modeling results into clear, interactive visuals, enhancing transparency and decision-making across the organization.
Education/Experience/Certifications
Education Requires a bachelor’s degree in computer science, electrical engineering, economics or other related field or equivalent experience. MSc or PhD in mathematics, statistics or computer science or related field, such as physics, economics or operations research preferred.
Experience Typically 12 or more years in data science or related field. Three or more years of experience in a quantitative role within the energy industry. Experience with wholesale power and/or commodities markets in the Western Electricity Coordinating Council footprint is preferred.
Certifications, Licenses and Training Advanced proficiency in SQL, Python or R, with the ability to build, automate, and optimize data workflows. Experience with data visualization tools (e.g. Tableau) preferred. Experience implementing time series analysis and Monte Carlo simulations, regression and econometric techniques, optimization techniques with commercial solvers. Familiarity with with Production Cost Modeling (Aurora, PLEXOS, GE MAPs, etc.) preferred.
Competencies (Knowledge, Skills, Abilities)
Functional Competencies:
Expert quantitative analysis skills
Expert data literacy
Advanced knowledge of multiple business processes in three or more of the following business areas: Corporate, T&D, Generation and Operations, Power Supply
Advanced ability to develop complex predictive models and represent the models using simple and advanced visualization mechanism
Advanced understanding and knowledge of energy, technology and utility domain trends
General Competencies:
Expert business acumen
Advanced interpersonal skills
Expert written/oral communication skills
Expert analytical thinking skills
Expert decision-making skills
Advanced change leadership skills
Expert presentation/facilitation skills
Expert enterprise/business awareness skills
Advanced problem-solving skills
Physical and Cognitive Demands
Cognitive Level
Substantial: Consistent use of logic or scientific thinking to define problems, collect information, establish facts and draw valid conclusions (for example, engineer, HR director, plant manager, etc.).
Cognitive
Ability to adhere to set response times, deadlines and time-sensitive tasks
Ability to follow accuracy standards
Ability to follow through on decision-making tasks
Ability to interact effectively and collaboratively within a team environment
Ability to communicate and problem solve when under stress
Ability to respond and adapt to frequent change
Ability to accept and demonstrate self-awareness when provided constructive feedback
Ability to discern feedback and acknowledge ownership of areas of improvement
Ability to avoid future mistakes by applying reasonable skills to new but similar work situations or tasks
Ability to successfully collaborate with peers, managers and others within the organization Demonstrates sound memory
Ability to process new information to be applied consistently to work tasks
Schedule/Attendance
Ability to adhere to pre-established schedule, including start/stop time and break/lunch schedule
Ability to work long hours
Ability to work a variable schedule
Ability to report to work and perform work during periods of severe inclement weather
Ability to consistently meet attendance standards for regular, reliable, predictable, full-time attendance
Physical Capabilities
Driving/travel/commute
Computer use (use computer regularly for entire work shift)
Environment - Indoor
Office environment – Hybrid – 3 days per week in office
Compensation Range:
$107,025.00 - $222,560.00
Actual total compensation, including a performance based incentive bonus, is commensurate with experience, skills, qualifications, education, training, and internal equity. While we anticipate the selected candidate for this position will fall towards the middle or entry point of the compensation range, the decision will be made on a case-by-case basis.
PGE believes in rewarding dedicated performance. We provide a total rewards package that is designed to reward your contributions to the company, and, at the same time, support your well-being and professional development, both now and into the future. To find out more, click here.
Summary
PGE seeks a talented quantitative analyst with energy analytics and modeling experience to support PGE Energy Supply, Trading Analytics. The Senior/Principal Quantitative Risk Analyst takes a leadership role in communicating data-informed strategy and reports to the Manager, Market Fundamentals and Trading Analytics in Power Operations.
This role is ideal for a candidate who thrives in a fast-paced trading environment, has a strong technical background, is comfortable building and automating data solutions from scratch, and has curiosity and passion about the electric utility business. The ideal candidate is resourceful and capable of quickly turning market insights into actionable tools for traders and leadership.
Key Responsibilities
Business Partnership and Thought Leadership Supports senior leadership and key business partners in navigating uncertainty in an increasingly complex, data-driven energy landscape. Applies quantitative insights and analytics tools to enhance decision-making in trading, hedging, and portfolio management. Collaborates across teams to foster transparency and efficiency in portfolio analysis.
Quantitative Modeling and Portfolio Risk Optimization Develops and maintains risk models and valuation frameworks for structured products, generation assets, and portfolio hedging strategies. Leverages statistical techniques (VaR, GMaR, stress testing, backcasting) to enhance models, providing traders and portfolio managers with insights for market decisions.
Data Engineering and Automation Independently sources, integrates, and structures internal and external datasets to support analytics and decision-making. Builds and maintains custom data pipelines and automated workflows, ensuring data accessibility for trading and leadership teams.
Data Visualization & Communication Develops and maintains Tableau dashboards and automated reporting tools to ensure quantitative insights are accessible for diverse audiences. Translates complex modeling results into clear, interactive visuals, enhancing transparency and decision-making across the organization.
Education/Experience/Certifications
Education Requires a bachelor’s degree in computer science, electrical engineering, economics or other related field or equivalent experience. MSc or PhD in mathematics, statistics or computer science or related field, such as physics, economics or operations research preferred.
Experience Typically 12 or more years in data science or related field. Three or more years of experience in a quantitative role within the energy industry. Experience with wholesale power and/or commodities markets in the Western Electricity Coordinating Council footprint is preferred.
Certifications, Licenses and Training Advanced proficiency in SQL, Python or R, with the ability to build, automate, and optimize data workflows. Experience with data visualization tools (e.g. Tableau) preferred. Experience implementing time series analysis and Monte Carlo simulations, regression and econometric techniques, optimization techniques with commercial solvers. Familiarity with with Production Cost Modeling (Aurora, PLEXOS, GE MAPs, etc.) preferred.
Competencies (Knowledge, Skills, Abilities)
Functional Competencies:
Expert quantitative analysis skills
Expert data literacy
Advanced knowledge of multiple business processes in three or more of the following business areas: Corporate, T&D, Generation and Operations, Power Supply
Advanced ability to develop complex predictive models and represent the models using simple and advanced visualization mechanism
Advanced understanding and knowledge of energy, technology and utility domain trends
General Competencies:
Expert business acumen
Advanced interpersonal skills
Expert written/oral communication skills
Expert analytical thinking skills
Expert decision-making skills
Advanced change leadership skills
Expert presentation/facilitation skills
Expert enterprise/business awareness skills
Advanced problem-solving skills
Physical and Cognitive Demands
Cognitive Level
Substantial: Consistent use of logic or scientific thinking to define problems, collect information, establish facts and draw valid conclusions (for example, engineer, HR director, plant manager, etc.).
Cognitive
Ability to adhere to set response times, deadlines and time-sensitive tasks
Ability to follow accuracy standards
Ability to follow through on decision-making tasks
Ability to interact effectively and collaboratively within a team environment
Ability to communicate and problem solve when under stress
Ability to respond and adapt to frequent change
Ability to accept and demonstrate self-awareness when provided constructive feedback
Ability to discern feedback and acknowledge ownership of areas of improvement
Ability to avoid future mistakes by applying reasonable skills to new but similar work situations or tasks
Ability to successfully collaborate with peers, managers and others within the organization Demonstrates sound memory
Ability to process new information to be applied consistently to work tasks
Schedule/Attendance
Ability to adhere to pre-established schedule, including start/stop time and break/lunch schedule
Ability to work long hours
Ability to work a variable schedule
Ability to report to work and perform work during periods of severe inclement weather
Ability to consistently meet attendance standards for regular, reliable, predictable, full-time attendance
Physical Capabilities
Driving/travel/commute
Computer use (use computer regularly for entire work shift)
Environment - Indoor
Office environment – Hybrid – 3 days per week in office
Compensation Range:
$107,025.00 - $222,560.00
Actual total compensation, including a performance based incentive bonus, is commensurate with experience, skills, qualifications, education, training, and internal equity. While we anticipate the selected candidate for this position will fall towards the middle or entry point of the compensation range, the decision will be made on a case-by-case basis.
PGE believes in rewarding dedicated performance. We provide a total rewards package that is designed to reward your contributions to the company, and, at the same time, support your well-being and professional development, both now and into the future. To find out more, click here.
Salary : $107,025 - $222,560
