Senior Energy Quantitative Analyst

NextEra Energy Resources; Town of Florida (NY); On-site; USD 125,000 - 190,000; Full time

Job summary

NextEra Analytics is seeking a Senior Energy Quantitative Analyst to develop and optimize models for renewable energy generation, energy storage, and traditional utility assets. This role blends advanced quantitative analysis with power systems expertise to support trading, origination, and asset optimization.

You will build mathematical models, study energy markets, and implement analytical tools using Python, R, and Excel, contributing to risk management and price forecasting across energy

Qualifications

• Bachelor’s degree in a quantitative field; advanced degree preferred.
• 4+ years in quantitative analysis, energy markets or related field.
• Strong Python and/or R programming with commercial software development experience.
• Solid mathematical and statistical modeling capabilities.

Responsibilities

• Develop and optimize models for renewable generation, energy storage, and traditional assets.
• Develop and improve mathematical models and optimization algorithms in Python and R.
• Analyze energy markets and price forecasts to support trading, origination, and asset optimization.
• Design risk management tools and evaluate company risk exposure and portfolio performance.
• Collaborate with trading, origination, and technical teams on model valuations and documentation.

Skills

Python

R programming

Quantitative analysis

Mathematical modeling

Energy markets

Data analysis

Education

Bachelor’s Degree in Engineering/Math/Finance/Economics

Master’s Degree (preferred)

Tools

NumPy

Pandas

StatsModels

Matplotlib/Seaborn

Scikit-Learn

SciPy

Git

Job description

NextEra Analytics is seeking a Senior Energy Quantitative Analyst to develop and optimize models for renewable energy generation, energy storage, and traditional utility assets. This role blends advanced quantitative analysis with power systems expertise to support trading, origination, and asset optimization.

You will build mathematical models, study energy markets, and implement analytical tools using Python, R, and Excel, contributing to risk management and price forecasting across energy