Quantitative Power Markets Analyst

We are seeking a highly capable Quantitative Power Markets Analyst to join our team at a utility-scale renewable energy Independent Power Producer (IPP) focused on the development, ownership, and operation of solar PV and battery energy storage systems (BESS).

In this role, you will work closely with traders, engineers, and data scientists to design and deploy market-driven models and analytical tools that inform energy dispatch, bidding, and trading decisions. You will play a key role in real-time market analysis and strategy execution, helping to optimize the performance and revenue of a growing solar and storage portfolio across competitive power markets.

This position is well suited to a quantitatively strong analyst with sound power market intuition who is motivated to apply advanced analytics to real-world trading, dispatch, and asset optimization challenges in fast-moving electricity markets.

• Bachelor’s degree or higher in Electrical Engineering, Economics, Operations Research, Applied Mathematics, Data Science, or a related quantitative field.
• 2+ years of experience in power market analysis, trading support, or quantitative analyst roles.
• Strong understanding of U.S. electricity market structures and mechanics; hands‑off experience with ERCOT or CAISO market data is a plus.
• Proficiency in Python for data analysis, modeling, and workflow automation.
• Solid grounding in statistics, time‑series analysis, and power market economics.
• Experience working with large-scale market datasets, including prices, load, generation, outages, and congestion.
• Ability to independently tackle loosely defined analytical problems with minimal supervision.
• Strong communication skills, with the ability to clearly convey quantitative insights to traders, engineers, and non-technical stakeholders.
• Demonstrated interest in power markets, trading, and renewable energy systems.

• Comfortable operating in a fast-paced, market-driven trading environment.
• Able to prioritize effectively and respond quickly to time-sensitive market requests.
• Collaborative mindset with a willingness to work closely across trading, analytics, and operations teams.
• Strong sense of ownership and accountability for analytical outputs and decision support tools.
• Flexibility to work outside standard business hours when market conditions require.

• Familiarity with optimization-based power flow models, energy storage dispatch, and market bidding strategies.
• Experience applying machine learning techniques (e.g., regression, tree-based models, neural networks) to power market or price forecasting problems.
• Exposure to deep learning frameworks such as PyTorch and scikit-learn.
• Experience with cloud-based data infrastructure, real-time data pipelines, or streaming market data workflows.

• Competitive compensation package.
• Comprehensive health benefits, flexible PTO, and ongoing professional development opportunities.
• The opportunity to grow your career through hands-on involvement with utility-scale solar and BESS assets
  , applying cutting-edge analytics, AI, and data engineering technologies in the renewable energy sector.

If this role is of interest please reach out to Simon Howard ()