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Energy Quant Jobs (NOW HIRING)

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation. Job ...

Expand Energy

Quantitative Risk Analyst

Spring, TX

This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation. Job ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation. Job ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation. Job ...

What the Tech, Bend

Energy Analyst

Portland, OR · On-site

$80 - $100/hr

Quantitative understanding of energy economics and energy systems * Bachelor's degree required (energy systems, engineering, economics, data science, statistics, operations research, mathematics, or ...

Eagle Seven

Energy Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Energy Trader to trade energy futures and swap markets listed ... Strong analytical, quantitative, and math skills * Experience with Python is preferred * Ability to ...

Eagle Seven

Energy Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Energy Trader to trade energy futures and swap markets listed ... Strong analytical, quantitative, and math skills * Experience with Python is preferred * Ability to ...

Eagle Seven

Energy Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Energy Trader to trade energy futures and swap markets listed ... Strong analytical, quantitative, and math skills * Experience with Python is preferred * Ability to ...

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All JobsEnergy Quant Jobs

Energy Quant information

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$98K

$169.7K

$259.5K

How much do energy quant jobs pay per year?

As of Aug 23, 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 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 as an energy quant?

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.

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Energy Quant jobs near you
Infographic showing various Energy Quant job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% 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.

Commodities Quant Analyst

Verition Group LLC

Houston, TX • On-site

Full-time

Re-posted 17 hours ago

Job description

Firm Overview
Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
Role Overview
Verition is seeking a Quantitative Analyst to join a commodities-focused investment pod in Houston. This is a highly research-oriented role working directly alongside an experienced Portfolio Manager to develop differentiated investment signals using alternative data and quantitative research techniques. The successful candidate will combine a strong foundation in statistics, financial modeling, and Python with a genuine curiosity for uncovering new sources of alpha.
Rather than focusing on software engineering, this individual will spend their time researching markets, identifying unique datasets, testing hypotheses, and developing predictive signals that can be incorporated directly into the investment process.
A significant portion of the role will involve sourcing, analyzing, and modeling alternative datasets related to global commodity markets. This includes working with data such as crude oil vessel tracking (AIS), shipping and freight activity, pipeline flows, refinery operations, storage and inventory data, weather, satellite imagery, and other non-traditional datasets. The objective is to transform raw information into robust, statistically validated signals that provide a measurable investment edge.
Responsibilities
  • Develop financial time series models and predictive forecasting techniques across energy and commodity markets.
  • Research, evaluate, and incorporate alternative datasets into the investment process.
  • Design, test, and validate alpha signals through rigorous statistical analysis and backtesting.
  • Build research pipelines to clean, organize, and analyze large structured and unstructured datasets.
  • Leverage AI and machine learning techniques to improve feature engineering, accelerate research, and identify differentiated investment opportunities.
  • Collaborate with the Portfolio Manager to rapidly prototype new ideas and continuously refine investment models as market dynamics evolve.

Qualifications
  • Strong proficiency in Python and the broader scientific computing ecosystem, including Pandas, NumPy, SciPy, and scikit-learn.
  • Experience with financial time series analysis, statistical modeling, feature engineering, and hypothesis testing.
  • Knowledge of backtesting frameworks, predictive modeling, and signal evaluation techniques.
  • Experience applying machine learning techniques and modern AI tools, including large language models, to quantitative research workflows.
  • Proficiency with SQL, cloud-based data platforms, and working with large-scale structured and unstructured datasets.
  • Interest in commodities, global markets, and alternative data research.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment

Apply