Sr Quantitative Analyst

About the role

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.

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
• Incorporate quantitative studies and analyses of spot/forward energy prices and volatilities for pricing, trading, and risk management into design optimization

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

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
• Aids in the 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: 4+ years

Employee Group

Exempt

Employee Type

Full Time

Job Category

Finance, Accounting & Business Analytics

Organization

NextEra Analytics, Inc

Relocation Provided

Yes, if applicable

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.

Supporting Medical or Religious Documentation

Please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com , providing your name, telephone number and the best time for us to reach you.

Reasonable Accommodation

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.