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Remote Energy Quant Jobs (NOW HIRING)

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Full Stack Engineer (Remote)

Saint Petersburg, FL · Remote

$75K - $100K/yr

... energy. Some projects you could work on: * The split-screen infinite canvas and table workspace in ... Exploring new ways to visualize qualitative data with a quantitative lens that could help ...

Leapfrog Power, Inc.

Sr. Product Manager

$129K - $170K/yr

... energy entrepreneurs. We are a remote, distributed workplace with teammates based in Europe and ... quantitative insights * Experience working in remote or hybrid environments across time zones ...

Intersect

Strategy and Business Development Team Member

$45K - $62K/yr

We are developing and constructing multiple gigawatts of energy and data center projects in the U.S ... Provide quantitative support for investment theses by evaluating technology performance, cost ...

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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 Jul 13, 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 are Remote Energy Quants?

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.

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.

What are the key skills and qualifications needed to thrive as a Remote Energy Quant, and why are they important?

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.
More about Remote Energy Quant jobs
What cities are hiring for Remote Energy Quant jobs? Cities with the most Remote 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 Remote Energy Quant jobs? States with the most job openings for Remote Energy Quant jobs include:
What job categories do people searching Remote Energy Quant jobs look for? The top searched job categories for Remote Energy Quant jobs are:
Remote Energy Quant jobs near you
Infographic showing various Remote 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.

Postdoctoral Fellow, NSF EPSCoR

University of Idaho Job

Moscow, ID • On-site, Remote

$60K/yr

Full-time

Posted 29 days ago

Job description

Position Information
Internal Posting? Posting Number SP005318P Position Title Postdoctoral Fellow, NSF EPSCoR Division/College College of Agricultural & Life Sciences Department IWRRI Location Boise Posting Context Statement Position Overview
We are seeking a postdoctoral scholar to contribute to a sub-project of the NSF EPSCoR project - Idaho Community-Engaged Resilience for Energy-Water Systems (I-CREWS), which seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological, population, and technological change. The postdoc will lead data analysis and modeling on the sub-project titled "Coupled Water and Energy Consequences of Agricultural-to-Urban Transitions in the Treasure Valley".

The postdoc will combine ground-based measurements of evapotranspiration (ET) in turfgrass and satellite-based consumptive use (CU) modeling to compare outdoor water use and associated energy demand across agricultural and urban land uses. The team will (1) develop and validate locally relevant methods to estimate consumptive use across mixed urban-agricultural landscapes, (2) estimate the energy required for water system operations under different land-use and infrastructure configurations, and (3) co-produce case studies with local partners to inform alternative futures modeling and resilience planning for the Treasure Valley.
Unit URL
https://iwrri.uidaho.edu/
Position Qualifications
Required Experience
  • Experience working with quantitative analysis, modeling, or data-driven methods related to energy-water systems
  • Experience collaborating with multidisciplinary teams, community partners, or stakeholder groups
  • Experience presenting or documenting research methods, findings, or technical information
  • Experience working with environmental or geospatial datasets, including remote sensing, flux tower or micrometeorological data, weather or climate data, or hydrologic observations
  • Experience conducting quantitative data analysis related to hydrologic systems, including statistics, time-series analysis, geospatial analysis, or model calibration and validation
  • Experience using scientific programming or data-analysis languages such as Python, R, or MATLAB to process environmental datasets and implement models
  • Evidence of scholarly activity through peer-reviewed publications, conference presentations, or equivalent research outputs
Required Education
  • PhD in hydrology, civil or environmental engineering, water resources, geography, environmental science, agricultural engineering, remote sensing, or a closely related field, completed by the start date.
Required Other
  • None
Additional Preferred
  • None
Physical Requirements & Working Conditions
  • None
Degree Requirement Listed degree qualification is required at time of hire
Posting Information
FLSA Status Exempt Employee Category Exempt Pay Range $60,000 annually or higher depending on experience Type of Appointment Fiscal Year FTE
1
Full Time/Part Time Full Time Funding This position is contingent upon the continuation of work and/or funding. A visa sponsorship is available for the position listed in this vacancy. Uncertain Posting Date 06/15/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants
Applications received by July 10, 2026, will receive first consideration.
Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.

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