Quantitative Analyst

NextEra Analytics provides renewable energy consulting services using industry-leading scientific analysis. As a NextEra Energy Resources company, the world’s largest generator of renewable energy from the wind and sun, we thrive on solving the toughest problems facing the energy industry, and creating innovative forecasting and optimization solutions that lead the way into the next era of energy. Do you want to help accelerate the transition to low-cost sustainable energy? Join our world-class team today!

Position Specific Description

Employees in this role perform multiple functions surrounding pre-construction size optimizations of renewable generators both distributed/behind-the-meter as well as utility size generators, size optimization of battery storage, and traditional utility generators. Employees will be able to utilize existing advanced software tools as well develop optimization models (Python, R, Excel) to solve complex, ad-hoc electricity demand versus generation supply problems. Employees in this role also perform quantitative studies and analyses of spot/forward prices and price volatilities for making pricing, trading, and risk management decisions. This position assists in the development of core algorithms and models to support trading, origination, and asset optimization decisions.

Experience with distributed generation, behind the meter renewable solutions, knowledge of various utility tariff structures, experience with utility integrated resource planning, and knowledge of market fundamentals is preferred.

Employees in this role are involved in the development of renewable resources, optimizing generator mix and sizes to serve an electrical load and to meet carbon reduction goals. The quantitative analyst will also be involved in improving existing optimization algorithms as well as developing new code bases.

• Familiar with utility integrated resource planning, renewable, and battery storage assets
• Familiar with distributed generation and behind the meter renewable planning as well as utility specific tariff structures
• Familiar with market participation rules such as placing charging and discharging offers for DA and RT markets
• Genuine interest to improve our code/software infrastructure and related services with good sense for code quality. Comfort and interest implementing statistical and mathematical models developed by quant researcher/data scientist is also desired.
• Advanced R and/or Python (2 and 3) knowledge. > 2 years of experience designing and developing commercial quality R or Python software.
• Familiarity with NumPy and statistical programming in Python using Pandas, StatsModels, Matplotlib/Seaborn, Scikit-Learn, and/or SciPy.
• Review and provide insightful feedback on documentation including software architecture, requirements, design documents, test protocols, unit tests, operating procedures, project plans, etc.
• Experience creating and managing R and/or Python (via Setuptools is desirable) packages.
• Experience with code refactoring for speed and reliability. In particular experience with Rcpp and related family of packages is a plus.
• Experience developing for Unix/Linux was well as Windows environments. Amazon AWS experience is a plus.
• OOP experience in R (S3, S4 and R6) and Python.

Further technical expertise, such as web development, data visualization, GUI development (e.g. with RShiny, plotly, bokeh, or Jupyter notebooks etc.) is very welcome.