Energy Quantitative Analyst Jobs (NOW HIRING)

NextEra Analytics offers energy consulting services using industry‑leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open‑source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions.

We are seeking a Senior Energy Quantitative Analyst to develop and optimize models for renewable energy generation, energy storage systems, and traditional utility assets. This role combines advanced quantitative analysis with power systems expertise to solve complex energy optimization problems. The analyst will develop mathematical models, perform quantitative studies of energy markets, and support trading, origination, and asset optimization decisions through sophisticated analytical tools and algorithms.

• Perform pre‑construction size optimizations for renewable generators (distributed/behind‑the‑meter and utility‑scale), battery storage systems, and traditional generators.
• Develop and improve mathematical models and optimization algorithms using Python, R, and Excel.
• Optimize generator mix and sizing to serve electrical loads while meeting carbon reduction goals.
• Work with trading and origination teams to interpret model valuations and respond to structured transaction requests.
• Design and construct risk management tools for evaluating company risk profiles and exposure levels.
• Review and provide feedback on technical documentation, software architecture, and project plans.
• Incorporate quantitative studies and analyses of spot/forward energy prices and volatilities for pricing, trading, and risk management into design optimization.
• Apply knowledge of energy price forecasts, forward curves, and volatility models in informed modeling decisions.

• Bachelor’s Degree in Engineering, Mathematics, Finance, Economics, or related quantitative field.
• 4+ years of experience in quantitative analysis, energy markets, or related field.
• Advanced proficiency in Python and/or R programming with commercial software development experience.
• Strong mathematical and statistical modeling capabilities.

• Master’s Degree in Engineering, Mathematics, Finance, Economics, or related quantitative field.
• 2+ years of experience specifically in quantitative analysis of energy markets.
• Advanced proficiency in Python, R and experience with NumPy, Pandas, StatsModels, Matplotlib/Seaborn, Scikit‑Learn, SciPy.
• Experience with code refactoring, OOP in Python/R, and package management.
• Power flow modeling experience or software development for power flow applications; transmission planning and system analysis experience; contingency analysis and power system reliability assessment skills.
• Experience with distributed generation and behind‑the‑meter renewable solutions; utility tariff structures and integrated resource planning; energy market participation rules (Day‑Ahead and Real‑Time markets).
• Web development, data visualization, or GUI development skills (RShiny, Plotly, Bokeh, Jupyter).
• Knowledge of renewable energy and battery storage technologies.

NextEra Energy offers a wide range of benefits to support employees and their eligible family members. Click here to learn more.

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws.

NextEra Energy will not discriminate based on compensation discussion and will not accept unsolicited resumes or referrals from third‑party recruiting firms or agencies.