Quantitative Power Markets Analyst

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Leap29

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Austin, TX, United States

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Quantitative Power Markets Analyst

Job Description

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.

Qualifications

Required

  • 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-on 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.

Work-Style Requirements

  • 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.

Preferred

  • 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.

What We Offer

  • 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 (showard@leap29.com)