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Energy Quant Jobs (NOW HIRING)

Frontier Energy

Energy Engineer

Northampton, MA · On-site

At Frontier Energy, we're more than just engineers and professionals-we're a team of innovators ... Proficient in Microsoft 365 tools for word processing, spreadsheets, quantitative analysis, and ...

Olivine, Inc.

Energy Market Manager

Berkeley, CA · Remote

Bachelor's degree in a quantitative field such as math, statistics, engineering, quantitative finance, or business; advanced degree preferred * 10+ years of experience in energy operations, commodity ...

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Energy Quant information

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$98K

$169.7K

$259.5K

How much do energy quant jobs pay per year?

As of Jul 13, 2026, the average yearly pay for energy quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Energy Quant?

As an Energy Quant, your daily tasks often include developing quantitative models to forecast energy prices, analyze risk, and evaluate trading strategies. You will work with large datasets, write complex code, and collaborate closely with traders, risk managers, and other quantitative analysts. Regular responsibilities also involve reviewing market data, updating models to reflect changing market conditions, and presenting technical results to internal teams. This role demands a high level of analytical thinking and frequently requires adapting to rapidly evolving energy markets.

What does an Energy Quant do?

An Energy Quant (Quantitative Analyst) applies mathematical models, statistical techniques, and programming skills to analyze energy markets, price derivatives, and optimize trading strategies. They work with large datasets to forecast prices, assess risks, and develop algorithms for trading or hedging energy commodities like electricity, natural gas, and oil. Energy Quants typically have strong expertise in quantitative finance, programming (Python, R, or MATLAB), and energy market dynamics. Their work supports risk management, proprietary trading, and investment strategies for energy companies, hedge funds, and trading firms.

What are the key skills and qualifications needed to thrive in the Energy Quant position, and why are they important?

To thrive as an Energy Quant, you need advanced quantitative skills, a background in mathematics, statistics, or finance, and typically a graduate degree in a quantitative field. Proficiency with programming languages such as Python, R, or MATLAB, and familiarity with data analytics platforms and risk management systems are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative and fast-paced environments. These skills enable accurate energy market modeling, rigorous risk analysis, and clear presentation of complex findings to both technical and non-technical stakeholders.

More about Energy Quant jobs
What cities are hiring for Energy Quant jobs? Cities with the most 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 Energy Quant jobs? States with the most job openings for Energy Quant jobs include:
What job categories do people searching Energy Quant jobs look for? The top searched job categories for Energy Quant jobs are:
Energy Quant jobs near you
Infographic showing various 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 $169,729 per year, or $81.6 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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