Sr Quantitative Analyst

Requisition ID:  96128 

 

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. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

 

Position Specific Description

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.

 

Key Responsibilities 

 

• 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.

• Possess knowledge of the principles involved in developing energy price forecasts, forward curves, and volatility models and apply these insights in making informed modeling decisions.

 

 

Preferred Qualifications 

 

• Master's Degree in Engineering, Mathematics, Finance, Economics, or related quantitative field

• 2+ years of experience in quantitative analysis, energy markets, or related field

• Advanced proficiency in Python and/or R programming with 2+ years of commercial software development experience

• Strong mathematical and statistical modeling capabilities

• 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

• Knowledge of utility tariff structures and integrated resource planning

• Experience with energy market participation rules (Day-Ahead and Real-Time markets)

• Proficiency with Python libraries: NumPy, Pandas, StatsModels, Matplotlib/Seaborn, Scikit-Learn, SciPy

• Experience with code refactoring, OOP in Python/R, and package management

• Unix/Linux and Windows development experience; AWS experience a plus

• Web development, data visualization, or GUI development skills (RShiny, plotly, bokeh, Jupyter)

• Knowledge of renewable energy and battery storage technologies