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Phd Energy Trading Jobs (NOW HIRING)

Ability to understand commodity trading/energy sector datasets and business needs * Experience ... Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry ...

Experience in quantitative risk, quantitative analytics, structuring, valuation, or model development in a Master's or PhD program focusing on commodity trading, energy trading, merchant energy ...

Requisition ID: 96608 NextEra Energy Marketing is one of the nation's leading electricity and ... Bachelor's degree (Master's or PhD preferred) in Electrical Engineering, Power Systems, Applied ...

Requisition ID: 96608 NextEra Energy Marketing is one of the nation's leading electricity and ... Bachelor's degree (Master's or PhD preferred) in Electrical Engineering, Power Systems, Applied ...

Experience in quantitative risk, quantitative analytics, structuring, valuation, or model development in a Master's or PhD program focusing on commodity trading, energy trading, merchant energy ...

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Phd Energy Trading information

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$110K

$157.5K

$201.5K

How much do phd energy trading jobs pay per year?

As of Aug 29, 2026, the average yearly pay for phd energy trading in the United States is $157,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,500.00 and $173,500.00 per year, depending on experience, location, and employer.

What is a PhD in energy trading?

A PhD in Energy Trading is an advanced academic degree focused on the economics, mathematics, and technology involved in buying, selling, and managing energy commodities such as oil, gas, and electricity. Students in this program typically conduct research on quantitative modeling, risk management, energy markets, and policy impacts. Graduates often pursue careers in academia, research, or high-level analytical roles within energy companies, financial institutions, or regulatory agencies. The degree provides expertise in both the theoretical and practical aspects of how energy is traded globally.

How does a PhD in energy trading contribute to collaborative projects within cross-functional teams?

As a PhD in Energy Trading, you'll frequently collaborate with professionals in risk management, data analytics, and market strategy to develop sophisticated trading models and optimize portfolio performance. Your advanced research skills and deep understanding of energy markets enable you to bridge the gap between quantitative teams and decision-makers. This role often involves presenting complex findings to non-technical stakeholders, ensuring that insights are actionable and aligned with business objectives. Effective communication and teamwork are essential, as projects often require input from diverse disciplines to address market volatility and regulatory changes.

What are the key skills and qualifications needed to thrive as a PhD energy trader, and why are they important?

To thrive as a PhD Energy Trader, you need strong quantitative analysis skills, expertise in energy markets, and an advanced degree (often a PhD) in fields like finance, engineering, economics, or applied mathematics. Familiarity with statistical modeling tools, programming languages (such as Python, R, or MATLAB), and trading platforms is essential. Exceptional problem-solving, decision-making, and communication skills help you interpret market trends and collaborate with diverse teams. These capabilities are crucial for accurately predicting market movements, managing risk, and achieving profitability in a highly volatile and data-driven industry.

What is the difference between Phd Energy Trading vs Energy Analyst?

AspectPhd Energy TradingEnergy Analyst
Required CredentialsPhD in Energy, Economics, or related field; strong quantitative skillsBachelor's or Master's in Energy, Economics, or related field
Work EnvironmentFinancial trading firms, energy companies, hedge fundsUtilities, consulting firms, government agencies
Industry UsageUsed for high-level trading strategies and market analysisUsed for market research, forecasting, and policy analysis

While both roles involve energy markets, a Phd Energy Trading focuses on developing trading strategies and quantitative analysis at a high level, often within financial firms. An Energy Analyst typically conducts market research and forecasts to inform business decisions. The Phd role requires advanced degrees and deep quantitative skills, whereas the Energy Analyst role is accessible with a bachelor's or master's degree.

Infographic showing various Phd Energy Trading job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $157,465 per year, or $75.7 per hour.

Quantitative Trading & Research - Energy - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$130 - $170/hr

Other

Re-posted 11 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 173 rated banks


Job description

Job Description

The Energy Quantitative Research team, part of the Quantitative Trading and Research organization, develops the valuation models, analytical tools, and risk infrastructure that underpins the global energy trading business. We partner closely with Trading, Structuring, Sales, and Technology to price complex products, manage risk, and accelerate commercial innovation.

Job Summary

As a Vice President in the Energy Quantitative Research team in New York, you will be supporting the global energy trading business, with an initial focus on North American gas and global oil.

Working closely with the trading desk as part of a front office-aligned quant team, you will use your advanced analytical skills and commercial mindset to help drive the growth of the business and the development of new products. You will have the opportunity to own high impact models end to end, from the initial research and design to the production implementation and ongoing enhancement.

Job Responsibilities
  • Develop pricing and risk models for vanilla and structured products, including model development, production implementation, testing, governance and documentation
  • Partner with Trading and Sales to develop new commercial opportunities
  • Develop analytical tools for use by front office teams (pricing, model calibration, strategy backtesting etc)
  • Provide quantitative analysis and support to front office teams and control functions
  • Lead projects, manage priorities and take responsibility for results, partnering with other teams to deliver on cross‑functional projects
  • Provide technical support and guidance around the use of the models and tools developed by the team
Required Qualifications, Capabilities, and Skills
  • Advanced degree (master’s or PhD) in a quantitative field, or equivalent experience
  • Deep understanding of the mathematical and numerical techniques used in valuation models, including stochastic calculus, probability theory, optimization, Monte Carlo methods etc
  • Strong programming skills and knowledge of multiple languages (preferably including Python and C++), with the ability to efficiently implement production quality models
  • Commercially focused with excellent communication skills, and an ability to understand and anticipate desk needs and translate them into tangible deliverables
Preferred Qualifications, Capabilities, and Skills
  • Familiarity with energy and commodities markets, and the financial and physical products traded
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