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Remote Energy Quant Jobs (NOW HIRING)

Xcel Energy

CIP DSM Load Management Consultant

Denver, CO · On-site +1

$97K - $138K/yr

A position at Xcel Energy could be just what you're looking for. CIP DSM Load Management Consultant ... Work with the Quantitative Risk team to provide accurate/reliable information for DSM program M&V ...

Equilibrium Energy

General Interest

San Francisco, CA · On-site +1

... Quantitative Analyst * Commercial- Energy Trader, Portfolio Manager, Energy Trading Analyst ... remote-first work environment. Employee benefits include: * Competitive base salary and a ...

Accurant International

Data Scientist

$120K - $150K/yr

Remote (US ONLY) Status: Exempt Salary Range: $120K to $150K USD Job Title: Data Scientist Position ... Reporting to the Sr. Director of Engineering, this role will define how quantitative models are ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

You will be part of a high-energy, fast-paced team responsible for supporting initiatives and ... Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ...

Longroad Energy

Sr. Origination Manager (Remote)

About Longroad Energy Longroad Energy is a Boston, MA headquartered renewable energy developer ... Experience evaluating quantitative implications of PPA provisions including curtailment, LMP basis ...

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Remote Energy Quant information

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$98K

$169.7K

$259.5K

How much do remote energy quant jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote 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 is a remote energy quant?

Remote Energy Quants are professionals who analyze and model energy markets, prices, and risks, typically working from a remote location. They use quantitative methods, such as statistical analysis and mathematical modeling, to forecast energy demand, supply, and price movements. Their work supports energy trading, investment decisions, and risk management for utilities, trading firms, and energy companies. The 'remote' aspect means they perform these tasks outside of a traditional office, utilizing digital tools for collaboration and data analysis.

What are the key skills and qualifications needed to thrive as a remote energy quant?

To thrive as a Remote Energy Quant, you need strong quantitative analysis skills, a background in mathematics or finance, and expertise in energy markets. Proficiency in programming languages such as Python or R, experience with statistical modeling software, and familiarity with energy trading platforms are typically required. Excellent problem-solving, self-motivation, and clear communication skills help you excel in a remote and collaborative environment. These abilities are essential to accurately analyze market data, develop predictive models, and drive effective decision-making in the fast-paced energy sector.

How does a remote energy quant typically collaborate with trading and risk management teams while working off-site?

As a Remote Energy Quant, you will frequently interact with trading and risk management teams through virtual meetings, collaborative data platforms, and shared analytical tools. Effective communication is crucial, since your models and analyses directly inform trading strategies and risk assessments. You may be responsible for presenting forecasts, discussing modeling assumptions, and refining algorithms based on real-time feedback from these teams. Despite working remotely, you’ll need to be proactive in maintaining strong professional relationships and ensuring your insights are accessible and actionable for decision-makers.
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Remote Energy Quant jobs near you
Infographic showing various Remote 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.

Quantitative Researcher / Signal Generator - Alpha Signal Program

Moreton Capital Partners

Remote

Contractor

Re-posted 29 days ago

Job description

Quantitative Researcher / Signal Generator - Alpha Signal Program
About us
We're a small, elite team of AI researchers and engineers building predictive models across commodities, prediction markets, and global macro. We're well capitalized, we move fast, and we care about one thing above all: whether a signal actually works.
The Alpha Signal Program is how we bring in talent from outside the usual channels. We've found that the people with real edge aren't always the ones with the right CV or the right address.
The opportunity
This isn't a conventional job, and we'd rather be upfront about that. You won't be assigned a desk or a manager. Instead, you bring us a signal - a model, a systematic strategy, a way of reading a market that you believe gives you an edge - and we put real capital behind it. We handle the execution, the risk, and the infrastructure. You're paid a performance fee tied directly to how your signal performs.
You can do this from anywhere in the world, on your own schedule, alongside whatever else you're doing. If your signal works, the upside is yours to share in. If it doesn't, you've lost nothing but the time it took to find out.
What you'd be working on
You'd develop and refine predictive signals in one or more of the following areas:
  • Commodities - energy, metals, agriculture, and the relationships between them, physical and financial.
  • Prediction markets - event probabilities and mispriced odds, wherever information becomes a price.
  • Global macro - rates, FX, sovereign risk, and cross-asset calls, systematic.

Requirements
We don't filter on pedigree. You might be a quant, a full-time trader, an academic, or entirely self-taught. What matters is that you can show us a genuine edge and explain why it holds up.
We're especially keen to hear from:
  • Self-directed traders with a verifiable track record but no institutional name behind them
  • Researchers from physics, mathematics, engineering, or computer science who apply their tools to markets
  • Specialists who understand one corner of the world - a commodity, an energy market, an election - better than the Street does
  • Anyone who has been right often enough to know it isn't luck

Benefits
  • A performance fee tied directly to what your signal earns - the stronger and more consistent it is, the larger your share
  • Real capital behind your ideas, plus institutional-grade execution and risk management
  • Complete flexibility: fully remote, work from anywhere, on your own time
  • No relocation, no employment requirement to begin, and no obligation to share anything sensitive before an NDA is in place
  • The chance to work alongside a world-class team of AI researchers and engineers who will push your thinking harder than anyone else
How to apply
Click apply and attach your supporting material - your CV, a track record, a short description of your signal or approach, or whatever best makes your case. You don't need to give away how your edge works at this stage; we just want a clear picture of who you are and what you bring.
If it looks promising, we'll be in touch to sign an NDA and take it from there.

Apply