NextEra Energy Resources is the world's largest generator of renewable energy from the wind and sun, and a world leader in battery storage. We provide energy-related products and services that grow our economy, protect the environment, support our communities and help customers meet their energy needs. We are leading the decarbonization of the U.S. economy with our goal to reach Real Zero carbon emissions from our operations by 2045 while improving customer affordability and reliability. Are you interested in creating a cleaner environment for future generations? Join our world-class, innovative 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.
Experience with the monitoring, control, optimization and aggregation of Distributed Energy Resources (DERs) is not required, would be a plus.
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 ccommercial 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.
Job Overview
Employees in this role develop models, price energy derivatives, design and perform quantitative studies and analyses of spot/forward prices and 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.
Job Duties & Responsibilities
- Develops and improves upon mathematical models and translates algorithms into code
- Works with origination, risk management and trading to interpret valuations provided by models and responds to intra-day trading requests to price and evaluate structured transactions
- Assists development of energy price forecast, forward curve, and volatility models
- Designs and constructs risk management tools used in evaluating company's risk profile and exposure levels
- Performs other job-related duties as assigned
Required Qualifications
- Bachelor's Degree
- Experience: 2+ years
Preferred Qualifications
- Bachelor's - Accounting / Finance
- Master's Degree
The estimated base pay for this position is $112,000.00 to $168,000.00 per year. Starting pay will be based on several factors including, but not limited to, experience, qualifications, job-related and industry knowledge and skills and education/training.