POSITION PURPOSE
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.
ESSENTIAL JOB RESPONSIBILITIES (functions with percent of time spent performing function)
The energy sector is undergoing rapid and complex transformation, shaped by regulatory, policy, economic, technology, social and climate forces. In this role, you will help senior leadership and key business partners to understand, quantify and act upon uncertainty in an increasingly complex and data driven business landscape.
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.
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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.
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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.
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Identifying and implementing effective approaches to quantitatively evaluate energy infrastructure benefits and costs, as well as risks and risk mitigation.
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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.
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Understand risk metrics models such as Value at Risk (VaR), Mark to Market, Gross Margin at Risk (GMaR).
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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.
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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.
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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.
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Communicating effectively and influentially to diverse audiences about modeling methodologies, analyses and results in business practical terms that include a focus on the "why."
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When needed, providing expert witness testimony for market and regulatory proceedings.
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Make decision using the existing Risk Management Policy and Procedure framework.
Candidate Attributes
To achieve success, the person in this role must bring a combination of expert technical skills and market awareness, strong competence in communication and influence and the ability to quickly establish trust and credibility by understanding the firm's current risk posture and providing compelling intelligence to drive critical decisions. Measures of success in this position include achievement of strategic business outcomes, development of creative and sustainable analytical models, identification of risks and risk mitigation plans, demonstration of sound decision making, and effective communication of actionable analyses to key stakeholders.
Strong candidates will:
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Have a broad background in energy and quantitative risk analysis in North America with a focus on power, natural gas, and renewables.
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BS or MS in Quantitative discipline (engineering, statistics, science discipline, economics, quantitative finance).
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Bring five 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 commodities markets and quantitative energy trading experience is preferred.
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Have developed expertise in at least one of the following techniques: time series analysis and Monte Carlo simulation, advanced regression and econometric techniques, advanced optimization techniques leveraging commercial solvers.
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Have a demonstrated track record of success building quantitative models in R or Python. Bring advanced proficiency in one or more of the following programing languages and experience with object-oriented programming and cloud-based computing services (Python, R or other scripting languages).
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Experience with Production Cost Modeling
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Advanced Microsoft Office Suite skills (Word, PowerPoint, Excel).
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Experience with Endur ETRM is a plus.
Portland General Electric Company
121 SW Salmon St
Portland
Oregon United States
www.portlandgeneral.com
