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Senior Energy Quant Jobs (NOW HIRING)

njr

Senior Energy Efficiency (EM&V) Analyst

Wall, NJ · Hybrid

$92K - $125K/yr

... Energy Efficiency (EE) programs for New Jersey Natural Gas. The Senior EM&V Specialist is ... Monitor NJNG's performance on established on Quantitative Performance Indicators and other key ...

njr

Senior Energy Efficiency (EM&V) Analyst

Wall, NJ · Hybrid

$92K - $125K/yr

... Energy Efficiency (EE) programs for New Jersey Natural Gas. The Senior EM&V Specialist is ... Monitor NJNG's performance on established on Quantitative Performance Indicators and other key ...

Altanova

Senior Energy Project Engineer

New York, NY · On-site +1

$90K - $140K/yr

ALTANOVA is now actively hiring a Senior Energy Project Engineer for a full-time position in our ... The role requires strong quantitative skills to evaluate technical constraints, model revenue ...

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Senior Energy Quant information

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$25K

$80.3K

$163.5K

How much do senior energy quant jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior energy quant in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Energy Quant vs Energy Analyst?

AspectSenior Energy QuantEnergy Analyst
Required CredentialsAdvanced degrees (Master's/PhD), quantitative certificationsBachelor's or Master's, less emphasis on advanced certifications
Work EnvironmentQuantitative modeling, risk management, complex data analysisMarket research, data collection, reporting
Employer & Industry UsageFinancial firms, energy trading companies, hedge fundsUtilities, energy companies, consulting firms

The main difference between a Senior Energy Quant and an Energy Analyst lies in their focus and expertise. Senior Energy Quants primarily develop complex models and manage risk using advanced quantitative methods, often in finance or trading environments. Energy Analysts focus on market research, data analysis, and reporting to support business decisions. While both roles require knowledge of the energy sector, Senior Energy Quants typically have more specialized technical skills and higher-level responsibilities.

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What cities are hiring for Senior Energy Quant jobs? Cities with the most Senior Energy Quant job openings:
What are the most commonly searched types of Energy Quant jobs? The most popular types of Energy Quant jobs are:
What states have the most Senior Energy Quant jobs? States with the most job openings for Senior Energy Quant jobs include:
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Senior Energy Quant jobs near you
Infographic showing various Senior Energy Quant job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Sr Energy Market Analyst (Engineering)

Sr Energy Market Analyst (Engineering)

NextEra Energy

Juno Beach, FL

Other

Posted 6 days ago

NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

24th of 52 rated energy and utility

Job description

Requisition ID:  96128 

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 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. 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

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