Analyst, Market Operations and Optimization
Role Overview
Supports commercial optimization of Northland’s generation and energy-storage portfolio across electricity markets.
Combines market analytics, quantitative modeling, optimization, and data engineering to identify revenue opportunities and inform commercial decisions.
Key Skills for This Role
Full Job Posting
Role overview
Supports commercial optimization of Northland’s generation and energy-storage portfolio across electricity markets.
Combines market analytics, quantitative modeling, optimization, and data engineering to identify revenue opportunities and inform commercial decisions.
Workplace
- The role works from the Toronto office four days per week, with one flexible work-from-home day.
Key responsibilities
- Analyze market prices, congestion, ancillary services, dispatch outcomes, asset performance, and revenue attribution.
- Develop optimization models for dispatch, market participation, and revenue opportunities.
- Build and maintain Python- and SQL-based data pipelines, dashboards, and analytical tools; extract, transform, and analyze data from multiple sources.
- Evaluate market opportunities and revenue stacking; monitor third-party optimizers and energy managers.
- Investigate settlement discrepancies, operational deviations, and value leakage; improve optimization, forecasting, and market-operation processes.
- Present actionable findings and recommendations to internal stakeholders.
Requirements
- Bachelor’s or Master’s degree in a listed quantitative discipline or a related field.
- 1–3 years of experience in electricity markets, energy trading, energy storage, renewable energy, quantitative analysis, optimization, or a related field.
- Demonstrated mathematical programming optimization experience with LP, MILP, and NLP, and experience with optimization software or frameworks such as Pyomo, Gurobi, CPLEX, OR-Tools, or equivalent.
- Strong Python and SQL skills, including data analysis, modeling, automation, and work with large datasets.
- Understanding of wholesale electricity markets, including energy, capacity, ancillary services, congestion, and DA/RT markets.
- Strong analytical, problem-solving, and communication skills; able to turn quantitative results into business recommendations.
Preferred qualifications
- Cloud data platforms, data engineering tools, battery energy storage systems, revenue optimization, power-system modeling, forecasting, or time-series analysis experience is preferred.
- Git and collaborative software development practices, knowledge of North American or European electricity markets, and merchant asset or energy trading evaluation experience are preferred.
Benefits
- Benefits include RRSP matching, health, dental and vision coverage, paid parental leave, and accident, life, and disability insurance.
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