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Climate Risk Modelling Jobs (NOW HIRING)

Integration of fire danger and weather indices into modelling of wildfire occurrence and severity ... climate, or environmental models relevant to wildfire risk is required * Solid analytical and ...

... climate, or environmental models relevant to wildfire risk is required * Solid analytical and ... Integration of fire danger and weather indices into modelling of wildfire occurrence and severity

... risk-both quantity and quality -and ensuring we are fully prepared for drought and climate ... Oversee hydrological analysis, modelling and reporting , ensuring data drives innovative, practical ...

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Climate Risk Modelling information

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How much do climate risk modelling jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for climate risk modelling in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Climate Risk Modeller, and why are they important?

To thrive as a Climate Risk Modeller, you need strong quantitative analysis skills, a background in environmental science, mathematics, or a related field, and experience with climate data. Proficiency in programming languages such as Python or R, familiarity with statistical modelling tools, and knowledge of GIS software or climate simulation platforms are typically required. Outstanding attention to detail, effective communication, and problem-solving skills help explain complex findings to diverse stakeholders. These abilities ensure accurate risk assessments and actionable insights for organizations facing climate-related challenges.

What are some common challenges faced by Climate Risk Modelling professionals when working with interdisciplinary teams?

Climate Risk Modelling professionals often collaborate with experts from environmental science, finance, engineering, and policy to assess and mitigate climate-related risks. A common challenge is translating complex technical data into actionable insights that are understandable to non-specialists, while ensuring methodological rigor. Balancing the need for accuracy with project deadlines, and managing the uncertainties inherent in climate projections, are also frequent hurdles. Strong communication skills and adaptability are essential to bridge knowledge gaps and foster productive teamwork.

What is climate risk modelling?

Climate risk modelling is the process of using data, statistical techniques, and computer simulations to estimate the potential impacts of climate change on various sectors, such as finance, agriculture, infrastructure, and insurance. These models help organizations understand and quantify the physical and transition risks associated with changing climate conditions, including extreme weather events, rising sea levels, and regulatory shifts. By assessing these risks, companies and governments can make more informed decisions about investments, risk management, and adaptation strategies.

What is the difference between Climate Risk Modelling vs Climate Data Analyst?

AspectClimate Risk ModellingClimate Data Analyst
Required CredentialsDegree in environmental science, data science, or related fields; certifications in climate modeling or GISDegree in environmental science, statistics, or data analysis; certifications in data analysis tools
Work EnvironmentResearch institutions, government agencies, consulting firmsResearch institutions, government agencies, NGOs, private companies
Industry UsageDevelops models to predict climate impacts and risksAnalyzes climate data to identify trends and support decision-making

While both roles involve working with climate data, Climate Risk Modelling focuses on creating predictive models to assess future climate risks, whereas Climate Data Analysts interpret existing data to inform strategies. Both roles require strong analytical skills and environmental knowledge but differ in their primary objectives and methodologies.

More about Climate Risk Modelling jobs
What cities are hiring for Climate Risk Modelling jobs? Cities with the most Climate Risk Modelling job openings:
What states have the most Climate Risk Modelling jobs? States with the most job openings for Climate Risk Modelling jobs include:
What job categories do people searching Climate Risk Modelling jobs look for? The top searched job categories for Climate Risk Modelling jobs are:
Wildfire Scientist - Impact Forecasting

Wildfire Scientist - Impact Forecasting

Aon

Boston, MA • Hybrid

$115K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Aon rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

74th of 138 rated financial services


Job description

Wildfire Scientist - Impact Forecasting

This is a hybrid role with the flexibility to work both virtually and from our Boston office. Remote options within the US may be available for experienced candidates.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

This role will be part of Aon's Impact Forecasting Wildfire team, working at the intersection of wildfire science, meteorology, and catastrophe modeling for the (re)insurance industry. You will contribute to the development of wildfire hazard and loss models, with a strong focus on meteorological drivers of fire risk.

  • Develop and enhance wildfire catastrophe models for the (re)insurance market, with emphasis on:
    • Evaluating and processing weather reanalysis, observations, and climate change scenarios (ex, ERA, RAWS, IPCC)
    • Integration of fire danger and weather indices into modelling of wildfire occurrence and severity
  • Develop, test, and maintain data processing and modeling pipelines in R and / or Python, including automation for handling large datasets.
  • Perform model validation and verification:
    • Compare model output against historical wildfire experience
    • Document and communicate research findings back into the modeling workflow
    • Diagnose and improve model performance, especially for extreme events
  • Collaborate closely with an international and interdisciplinary team of:
    • Catastrophe model developers, meteorologists, wildfire scientists and engineers
    • Software developers and clientfacing colleagues
  • Prepare technical documentation, presentations, and summaries of modeling work.

Contribute to integrating wildfire hazard modules into Aon's ELEMENTS or other modeling platforms, and support testing and quality assurance of model releases.

Skills and experience that will lead to success

  • M.S. or Ph.D. in meteorology, climatology, atmospheric science, wildfire science, environmental science, applied geoscience, a closely related field or equivalent industry experience is required
  • Strong programming / scripting skills are required, preferably in R and / or Python, are required
  • Experience with numerical models, ideally including weather, climate, or environmental models relevant to wildfire risk is required
  • Solid analytical and statistical skills, including statistical analysis of large datasets, time series, and extremes is required
  • Experience working with geospatial data and tools, such as ArcGIS and QGIS) is preferred
  • Experience with SQL or other database tools is preferred
  • Experience with catastrophe (CAT) modeling is preferred

Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon's discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts,employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.

For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.

Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

The salary range for this position (intended for U.S. applicants) is $115,000 to $140,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.

This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.

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About Aon

Sourced by ZipRecruiter

Aon plc (NYSE:AON) is a leading global professional services firm providing a broad range of risk, retirement and health solutions. Our 50,000 colleagues in 120 countries empower results for clients by using proprietary data and analytics to deliver insights that reduce volatility and improve performance.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1992