Sr Quantitative Analyst

Requisition ID:  85463 

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 optimization of generation and load resources including renewable generators, battery and energy storage resources and traditional generators. Employees will  utilize existing advanced software tools as well as develop new capabilities (Julia, Python, R, Excel) to solve complex electricity demand and supply problems. Employees in this role also perform quantitative studies and analyses of market participation revenues and risk.  Employees should be able to leverage  expertise in operations research and electricity market fundamentals to optimize market products and assess quality through performance benchmarking.  
 

The quantitative analyst will also be involved in benchmarking and improving existing bid optimization algorithms as well as developing new operational models and analyses.

• Familiar with Independent System Operators (ISO) market operations including as facets related to market offers, outages, and derates applicable to battery storage and renewable resources
• Familiar with market participation rules such as placing charging and discharging offers for day ahead and real time markets.
• Demonstrated ability to develop analytics which monitor performance and provide insights to support expected business and operational performance goals.
• Data-driven, object-oriented programming knowledge; at least 2 years of experience designing and developing commercial quality models (Python and Julia preferred).
• Familiarity with NumPy and statistical programming in Python using Pandas, StatsModels, Matplotlib/Seaborn, Scikit-Learn, and/or SciPy.
• Experience creating and managing Python or similar packages and environments.
• Experience with software version control and collaborative development using Git.
• Experience developing for Unix/Linux was well as Windows environments. Amazon AWS experience and/or other cloud computing experience is a plus.

 
Further technical expertise, such as web development, data visualization, database management and UI development is very welcome.