Energy Market Modelling And Analytics Specialist

Current ENMAX employees are encouraged to apply through their internal Workday access.Posted: November 10, 2026 Closing Date: November 24, 2026 Position Type: Permanent Union: Exempt - Management Professional (MP)Why ENMAX?
We are driven by our purpose of lighting the way to a brighter energy future, a future that includes a workplace where you'll experience belonging and unlock possibilities. We offer meaningful opportunities, strong collaboration and a career aligned to what matters to you. We're proud of who we are and the work we do to support our communities and customers who depend on us, because at ENMAX, we're lighting the way together.We're looking for an Energy Market Modelling & Analytics Specialist to join our team.In this role, you'll bring together your knowledge of electricity markets with quantitative modelling, financial analysis, data science, data engineering, and technology to help strengthen our Energy Market capabilities.You'll turn complex market information into clear, practical insights that help us better understand Alberta's changing electricity market and what it means for generation, customer demand, hedging, dispatch, valuation, risk, and commercial decisions.As the Specialist, you'll work closely with teams across trading, commercial, risk, finance, engineering, data science, and technology to understand business needs and build practical modelling and analytical solutions. Your work will help improve how we use data, automate processes, optimize our approach, and make informed decisions across our competitive business.You'll enjoy this role if you're curious, creative, and comfortable working through ambiguity. The energy market can move quickly, and the answers are not always obvious. You'll be someone who enjoys solving complex problems, thinking differently, working with the unknown, and staying focused when priorities or market conditions change.Major Responsibilities:
Provide analytical and strategic support on Alberta electricity market fundamentals and the Restructured Energy Market (REM), including implications for generation, load, hedging, dispatch, valuation, and portfolio profitability.Develop, implement, and maintain quantitative, stochastic, optimization, financial, valuation, forecasting, and risk models supporting trading and commercial decision-making.Analyze market structure, supply and demand, generation economics, price formation, transmission constraints, congestion, ancillary services, and market risk.Build and maintain scalable data pipelines, data models, analytical datasets, and production applications, covering data ingestion, transformation, integration, validation, testing, monitoring, and documentation.Translate business and market requirements into modelling approaches, data requirements, technical specifications, and production-ready solutions.Assess commercial drivers and risks through scenario analysis, sensitivity analysis, stochastic simulation, back testing, and financial modelling.Partner with trading, commercial, risk, finance, engineering, data science, and technology teams to address wholesale business and operational challenges.Own analytical models, data pipelines, and technical applications through their full lifecycle, from development and testing through production implementation, optimization, and ongoing maintenance.Apply programming, data science, and engineering practices to automate and scale analytical processes, improve model performance, and enable repeatable, production-ready solutions.Identify opportunities to improve modelling, automation, optimization, and decision-making across the competitive business, and translate those opportunities into practical solutions.Communicate complex technical, financial, and market analysis clearly, providing actionable insights to senior leadership and internal stakeholders.Deliver high-quality analysis and solutions within tight timelines, adapting to evolving market conditions, business priorities, and REM requirements.Education Required:
Bachelor's degree in Engineering, Analytics, Computer Science, Statistics, Finance, Economics, or related discipline from an accredited university.Qualifications & Experience:
8 years related industry and technical experience.Strong financial modelling skills, including discounted cash flow analysis, revenue forecasting, operating costs, capital expenditures, depreciation, taxes, discount rates, and valuation.Experience with statistical modelling, machine learning, stochastic simulation, optimization, or other advanced analytical techniques.Proficiency with Python, SQL, Excel, and other quantitative software applications.Advanced statistical modelling and/or data science skills with experience applying these methods to understand and forecast market outcomes.Knowledge of Alberta electricity markets, market fundamentals, and energy-related commercial activities.Direct experience with the Restructured Energy Market
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