Quantitative Analyst (Juno Beach, FL, US, 33408)

Florida Power & Light; Juno Beach (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

NextEra Analytics, Inc. seeks an Energy Market Quantitative Analyst to develop and optimize models for renewable generation, energy storage, and traditional utility assets.

You will craft mathematical models, perform market analyses, and support trading, origination, and asset optimization through sophisticated tools. The role requires strong Python/R programming, energy market knowledge, and solid statistical modeling skills.

Qualifications

• Bachelor's Degree in a quantitative field or related area.
• 2+ years of experience in quantitative analysis, energy markets or related field.
• Strong programming skills in Python and/or R with commercial development experience.
• Solid mathematical and statistical modeling capabilities.
• Experience with energy market participation rules (Day-Ahead and Real-Time).
• Knowledge of power systems, transmission planning, and contingency analysis is a plus.

Responsibilities

• Develop and optimize mathematical models and algorithms for energy markets and asset optimization.
• Quantitatively study spot/forward prices and volatilities for pricing, trading and risk management.
• Collaborate with origination, risk management and trading to interpret model valuations.
• Design risk management tools to evaluate company risk profiles and exposures.
• Support trading, origination and asset optimization through analytical tools.

Skills

Quantitative analysis

Energy markets

Python

R programming

Statistical modeling

Unix/Linux

AWS

Data visualization

Education

Bachelor's Degree

Master's Degree

Tools

Python

R

NumPy

Pandas

SciPy

Matplotlib

Job description

Requisition ID: 97490

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 an Energy Market 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

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

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members.

Employee Group: Exempt
Employee Type: Full Time
Job Category: Finance, Accounting & Business Analytics
Organization: NextEra Analytics, Inc
Relocation Provided: Yes, if applicable

NextEra Energy is an 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.

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to [e-mail], providing your name, telephone number and the best time for us to reach you.

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.