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Energy Trader, Portfolio Management Group

Posted 15 days agoViewed

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💎 Seniority level: Proven experience

📍 Location: United States, Canada, Europe

🔍 Industry: Clean Energy

🏢 Company: Equilibrium Energy👥 101-250💰 $33,000,000 Series A over 1 year agoPower GridEnergyCommercial

🗣️ Languages: English

⏳ Experience: Proven experience

🪄 Skills: PythonSQLData AnalysisAlgorithmsRisk ManagementData modeling

Requirements:
  • Bachelor's or advanced degree in Engineering, Mathematics, Economics, Computer Science, or a related field, masters preferred.
  • Proven experience in trading or supporting a trading desk, with a focus on Virtuals, PTP and FTRs.
  • Strong expertise in fundamental grid modeling and power flow analysis, using tools such as PowerWorld, Dayzer, or similar
  • Deep knowledge of ISO market structures, bidding strategies, and congestion modeling in any of ERCOT, PJM, MISO, and SPP.
  • Strong proficiency in Python, with experience in data analysis, automation, and model development for trading strategies.
  • Ability to interpret market data and transmission constraints to drive trading decisions.
  • Strong collaboration skills with quantitative researchers and software engineers to refine and scale trading models.
Responsibilities:
  • Develop and execute Virtuals and FTR trading strategies across one or multiple ISO/RTO markets (ERCOT, PJM, MISO, SPP, CAISO)
  • Conduct fundamental market analysis, leveraging power flow models such as PowerWorld and Dayzer, or similar to identify congestion patterns and trading opportunities.
  • Work closely with quants and engineers to integrate fundamental modeling forecasts and insights into existing and new strategies
  • Analyze nodal price formation, transmission constraints, and generation dispatch to optimize trading positions.
  • Maintain an in-depth understanding of ISO rules, policy changes, regulatory impacts on trading strategies and act as a subject matter expert on short term and congestion trading approaches.
  • Collaborate with risk management and portfolio management teams.
  • Contribute to the continuous improvement of trading models, automation tools, and market data pipelines.
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