Additional Information
Job Title:
Head of Power Analytics and Strategy - North America (based in London)
Contract Type:
Time Type:
Job Description:
Lead and grow a high-performing North America power analytics function that delivers fundamental market research, trading desk support, and analytical tools to inform trading, origination, and portfolio decisions. Own the strategy, quality, and timeliness of North America fundamental analysis while managing the analysts who produce the day‑to‑day coverage described below.
Main responsibilities
Define the analytics strategy and priorities for North America power markets (primarily PJM, ERCOT, MISO, NYISO, ISO‑NE), aligning with trading and commercial objectives.
Hire, coach, and manage a team of fundamental analysts and model developers; set performance goals, development plans, and quality standards.
Ensure 24/7 coverage readiness around critical market windows and major events.
Oversee development and maintenance of fundamental views on Eastern interconnect supply-demand, seasonal outlooks, and price drivers.
Ensure team analysis of load patterns, weather impacts, demand trends, and regional drivers supports desk positioning.
Supervise tracking of thermal and renewable generation fleets (outages, additions, retirements, fuel cost dynamics) and integration into price views.
Incorporate hydro, nuclear availability, and storage penetration into scenario analysis.
Synthesize fuel market fundamentals (natural gas, coal) and assess pass‑through effects on power prices across hubs/zones.
Act as the senior research partner to the Head Trader and trading desk: deliver timely, actionable fundamental analysis and trade‑ready insights.
Oversee production of daily, weekly, and seasonal market summaries framing supply-demand balances, price risks, and material developments.
Identify and communicate emerging themes (generation mix shifts, weather setups, regulatory changes, transmission projects) that create trading opportunities or risks.
Provide fundamental context for forward curves, seasonal spreads, and inter‑zonal relationships to support trade ideas.
Lead development and quality control of fundamental dashboards, price forecasting models, and supply-demand trackers.
Drive use of Python/SQL/R/Excel (and other appropriate tools) to build scalable models and automate recurring workflows.
Work closely with data engineering to improve data pipelines from ISO portals, EIA, and proprietary sources.
Promote application of statistical techniques and scenario analysis to uncover structural drivers and weather relationships.
Present analysis and recommendations to senior stakeholders (traders, risk, origination, senior management).
Establish documentation, model validation and version control best practices; maintain auditability of assumptions and outputs.
Coordinate cross‑desk and cross‑region inputs where NA views impact global portfolios.
Gunvor · London, UK