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Quantitative Weather Analyst Jobs (NOW HIRING)

The position will use qualitative and quantitative techniques to help HarbisonWalker International ... weather, and extreme heat/cold. * Noise: Requires exposure to moderate noise conditions.

The position will use qualitative and quantitative techniques to help HarbisonWalker International ... weather, and extreme heat/cold. * Noise: Requires exposure to moderate noise conditions.

Analyze load patterns, weather impacts, and demand trends across key Eastern regions to support the ... quantitative discipline. Experience 2-5 years in energy markets, trading analytics, system ...

The position will use qualitative and quantitative techniques to help HarbisonWalker International ... weather, and extreme heat/cold. * Noise: Requires exposure to moderate noise conditions.

Analyze load patterns, weather impacts, and demand trends across key Eastern regions to support the ... quantitative discipline. Experience 2-5 years in energy markets, trading analytics, system ...

... Weather Service (NWS). The candidate will support NOAA in business process improvement to help ... Summarize quantitative data for monthly allotment, commitment, obligation, and contract status ...

Strong analytical, quantitative, problem-solving, and communication skills. * A willingness to be outside on active job sites in all weather conditions. * Self-starter energy -- you manage your own ...

Showing results 41-60

Quantitative Weather Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do quantitative weather analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for quantitative weather analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a quantitative weather analyst?

A Quantitative Weather Analyst is a professional who uses mathematical models, statistical techniques, and computer-based tools to analyze and interpret weather data. They focus on producing accurate forecasts, assessing risks, and supporting decision-making in weather-sensitive industries such as finance, agriculture, and energy. Their work often involves large datasets, advanced programming skills, and collaboration with meteorologists to improve the precision of weather predictions.

What are the key skills and qualifications needed to thrive as a quantitative weather analyst?

To thrive as a Quantitative Weather Analyst, a strong background in meteorology, mathematics, statistics, and computer science—often supported by a relevant degree—is essential. Proficiency with numerical weather prediction models, data analysis software (like Python, R, or MATLAB), and experience with GIS or remote sensing tools are typically required. Analytical thinking, problem-solving skills, and effective communication further distinguish top performers in this role. Mastery of these areas is crucial for accurately interpreting complex weather data, developing reliable forecasts, and conveying insights to stakeholders.

How does a quantitative weather analyst typically collaborate with other teams within a meteorological organization?

Quantitative Weather Analysts often work closely with meteorologists, data scientists, and software engineers to develop and refine weather prediction models. They share their quantitative findings and statistical analyses to support operational forecasting and research initiatives. Regular collaboration ensures that data-driven insights are integrated into forecast products and that models are continuously improved based on feedback from both technical and non-technical team members. This cross-functional teamwork is essential for delivering accurate and actionable weather information.

What is the difference between Quantitative Weather Analyst vs Meteorologist?

AspectQuantitative Weather AnalystMeteorologist
Required CredentialsBachelor's in meteorology, atmospheric science, or related field; often certifications in data analysisBachelor's or higher in meteorology or atmospheric sciences; often licensed or certified as a broadcast meteorologist
Work EnvironmentData analysis firms, research institutions, government agencies; focus on data modelingBroadcast stations, news outlets, weather service agencies; focus on forecasting and communication
Employer & Industry UsagePrimarily in research, data analysis, and modeling roles within meteorology-related industriesIn media, government, and private forecasting sectors, providing weather forecasts and warnings

While both roles involve meteorology, Quantitative Weather Analysts focus on analyzing weather data and creating models, whereas Meteorologists primarily forecast weather and communicate findings to the public. The roles often overlap in skills and credentials but differ in their primary responsibilities and work environments.

What are popular job titles related to Quantitative Weather Analyst jobs?

For Quantitative Weather Analyst jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Weather Analyst job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Senior Principal Risk Analyst

Tualatin, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees

Contractor

Re-posted 3 days ago


Key responsibilities

  • Leading Power Operations Risk Management by analyzing operational reports and assessing trading risk limits.

  • Developing, validating, and enhancing quantitative models to support risk analysis and decision making.

  • Designing valuation and price models for structured energy products and providing statistical and quantitative analysis for trading and hedging activities.


Job description


Title: Senior/Principal Risk Analyst
Duration: 12 Months
Location: Tualatin, OR - Local Preffered
Open to Remote caniddate from PST or MST time zones.
Description
PGE seeks a Senior or Principal Risk Analyst with energy analytics, quantitative analysis, and fundamentals experience to analyze risk and develop actionable business intelligence for effectively navigating dynamic energy markets. This highly visible position will be at the forefront of modelling and analyzing the evolving future of the power sector and guiding the company's approach to risks and opportunities related to energy infrastructure and market investments. with strong growth possibilities within the organization.
Responsibilities include but are not limited to:
  • Leading Power Operations RiskManagement running and analyzing operational report. Work with PowerOperation on assessing trading risk limits and assessments. development ofnew quantitative models, validating and/or enhancing existing models, andassisting internal partners and staff in understanding and using themodels for effective risk analysis and decision making.
  • Providing analytical fortrading, portfolio management, origination, energy market risk, creditrisk and finance; interpreting and sharing qualitative insights andfeedback from commercial teams into quantifiable terms to help improveperformance.
  • Independently initiating andanalyzing surrounding optimization in competitive markets, stochasticsimulations, and the interplay between zero- or low-marginal costresources and traditional energy generators.
  • Identifying and implementingeffective approaches to quantitatively evaluate energy infrastructurebenefits and costs, as well as risks and risk mitigation.
  • Design complex valuation andprice models for structured products including tolling agreements, PPAagreements, full requirements/load-following deals, shaped products,revenue puts, exotic options (swaptions, basket options, look-backoptions, heat rate options, etc.), weather derivatives, unit contingency,etc.
  • Understand risk metricsmodels such as Value at Risk (VaR), Mark to Market, Gross Margin at Risk(GMaR).
  • Proposing and implementingportfolio and asset optimization frameworks. Will build bespoke frameworksfor exploring, designing, and deploying systematic portfolio strategies,including generation asset optimization, natural gas storage andtransportation optimization, cross-commodity hedge optimization (optimalhedge ratio) and FTR hedging/bidding optimization.
  • Leading quantitative researchand modeling tasks related to macro industry trends, energy markets,ancillary services, capacity markets and commercial activities using toolssuch as artificial intelligence, machine learning, game theory, supply anddemand and price simulation models, probabilistic models, option valuationtools, and portfolio characteristic desk tools.
  • Provide statistical analysisand quantitative tools for trading and hedging purposes, including modelcommodity data for specific markets and produce ad hoc analysis based onshort-term market developments.
  • Communicating effectively andinfluentially to diverse audiences about modeling methodologies, analysesand results in business practical terms that include a focus on the "why."
  • When needed, providing expertwitness testimony for market and regulatory proceedings.
  • Make decision using theexisting Risk Management Policy and Procedure framework.

Requirements
Requirements
  • BS or MS discipline(engineering, statistics, science discipline, economics).
  • How many years of experienceare you looking for?: 3 - 4 + years in a similar role within the energyindustry
  • Have a broad background inenergy and quantitative risk analysis in North America with a focus onpower, natural gas, and renewables.
  • BS or MS - discipline(engineering, statistics, science discipline, economics, and finance).
  • Bring 3 - 4 or more years ofexperience in a quantitative role within the energy industry or directlyrelated academic setting with application in the energy industry.Experience with wholesale power and/or gas markets and quantitative energytrading experience is preferred.
  • Have developed expertise inat least one of the following techniques: time series analysis, advancedregression and econometric techniques, advanced optimization techniquesleveraging commercial solvers.
  • Strong competence incommunication
  • Experience with ProductionCost Modeling
  • Advanced Microsoft OfficeSuite skills (Word, PowerPoint, Excel).
  • Ability to communicate andwork with different organizations outside of risk management.
  • Experience with Endur ETRM isa plus.

Top 3 Must-Haves (Hard and/or Soft Skills):
1. Experience with Production Cost Modeling
2. Experience with wholesale power and/or gas markets
3. Experience with Risk Management System
Top 3 Nice-To-Haves (Hard and/or Soft Skills)
1. Experience with Endur ETRM
2. Advanced Microsoft Office Suite skills (Word, PowerPoint, Excel
3. Experience to translate numbers to actionable plan for coworkers