Commercial Quantitative Associate

About the role

Join us to drive the right power forward and make clean energy the natural choice for all!

Key Responsibilities

• Enable data-driven decisions
• Deliver insight-driven recommendations to support trading, origination, and risk mitigation
• Collaborate across Asset Management, M&A, and Business Development teams to embed analytics into key commercial workflows
• Affiliate in managing consultants and advisors with the evaluation of scenario inputs and results
• Develop Quantitative Models
• Support development of advanced models for forecasting, pricing, risk management, and asset optimization
• Affiliate in establishing scalable analytics processes, tools, and governance frameworks to support real-time and long-term commercial decision-making
• Modeling of BESS, solar, gas-generating resources, as well as the overall regional portfolio
• Affiliate in structuring of Power Purchase Agreements (PPAs), fuel procurement strategies, and market bidding decisions
• Design & Manage Data Infrastructure and Analytics Function
• Build and maintain a robust data architecture that integrates market, asset, trading, and financial data
• Affiliate in developing automated pipelines and storage solutions to support large-scale, real-time energy data
• Affiliate in ensuring data quality, consistency, and accessibility across the commercial organization
• Affiliate in developing dashboards and reporting tools to enhance visibility into portfolio and asset performance

Qualifications and Skills

• 5+ years of experience in commercial analytics, quantitative modeling, or data architecture within the energy, utilities, or commodity trading sectors
• Familiarity with U.S. power, gas, REC markets and evolving market changes
• Understanding operations and modeling for renewable (solar and BESS) and gas-fired technologies
• Expertise in programming and data manipulation (e.g., R, Python, SQL, MatLab or similar) and visualization tools (e.g., Power BI, Tableau or similar) for power applications
• Experience with power optimization and/or risk software (Promod, Plexos, cQuant or similar)
• Familiar with power portfolio risk metrics including GMaR, VaR and other related
• Strong background in time-series forecasting, optimization, or machine learning
• Familiarity with energy modeling, trading, and risk management platforms and their integration with commercial operations and investment decisions
• Experience building dashboards and reports
• Strong skills for scenario modeling and ad hoc analysis
• Exposure to big data environments and modern data warehousing tools is a plus
• Expertise in scalable data infrastructure, including data pipelines, storage, cloud platforms, and governance frameworks, is a plus
• Knowledge of thermal or renewable power generation cycles
• Experience troubleshooting or knowledge of industrial communication protocols (OPC, Modbus)