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Climate Modeling Jobs in Ontario (NOW HIRING)

RWDI

Model Builder (Call-in Contract)

Guelph, ON · On-site

$24 - $28/hr

RWDI is a global climate and performance engineering consulting firm that helps its clients ... Collaborating with the engineering team to problem-solve modeling issues * Ensuring the project ...

RWDI

Model Builder (Call-in Contract)

Guelph, ON

CA$24 - CA$28/hr

Description RWDI is a global climate and performance engineering consulting firm that helps its ... Collaborating with the engineering team to problem-solve modeling issues * Ensuring the project ...

MSCI

AI Researcher - Emerging Risk

Toronto, ON · On-site

CA$101K - CA$140K/yr

Our team develops AI-native data pipelines and production models that enable investors to quantify company and portfolio exposure to emerging risks like AI disruption, climate change, geopolitical ...

MSCI

AI Researcher - Emerging Risk

Toronto, ON · On-site

CA$101K - CA$140K/yr

Our team develops AI-native data pipelines and production models that enable investors to quantify company and portfolio exposure to emerging risks like AI disruption, climate change, geopolitical ...

exp

Lead Water Resources Engineer/Sr. Modeler

Brampton, ON · On-site

CA$106K - CA$141K/yr

The ideal candidate will have over 10 years of experience in surface water modeling, floodplain ... Experience with climate change impact assessments and resiliency planning. * Knowledge of scripting ...

CBCL

Senior Water Resources Engineer

Ottawa, ON

Develop innovative stormwater management strategiesto mitigate flooding, protect the environment, and address climate resilience; * Prepare and oversee detailed project deliverables, including models ...

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Showing results 21-40

All JobsClimate Modeling JobsClimate Modeling Jobs in Ontario

Climate Modeling information

See Ontario salary details

$19.5K

$74.6K

$173.5K

How much do climate modeling jobs pay per year?

As of Sep 5, 2026, the average yearly pay for climate modeling in Ontario is $74,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a climate modeling job?

A Climate Modeling job involves using computer simulations to study and predict climate patterns and changes over time. Professionals in this field develop models that analyze factors like atmospheric composition, ocean currents, and greenhouse gas emissions to assess future climate scenarios. These models help scientists, policymakers, and organizations make informed decisions about climate change mitigation and adaptation strategies. Climate modelers often work in research institutions, government agencies, or environmental organizations, requiring expertise in atmospheric science, mathematics, and programming.

What are the key skills and qualifications needed to thrive in climate modeling?

To thrive in Climate Modeling, you generally need a strong background in atmospheric or environmental science, mathematics, and computer programming, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, R, or Fortran, as well as experience using climate modeling software like WRF or CESM, is highly valuable. Strong analytical thinking, problem-solving, and effective collaboration and communication skills set candidates apart. These skills are critical because the role involves translating complex scientific data into actionable insights for research, policy, and industry decision-making.

What are the typical collaboration opportunities or interdisciplinary interactions for a climate modeling professional?

Professionals in Climate Modeling frequently collaborate with other scientists, engineers, and policy analysts to assess environmental impact, develop models, and interpret data. Teamwork is common, often involving regular meetings with meteorologists, data scientists, and stakeholders from government, academia, or private industry. These interdisciplinary interactions enrich the modeling process by integrating various perspectives and expertise, helping ensure accurate and practical climate solutions. Such collaboration is essential for translating technical findings into applications that inform climate strategies and decision-making.

What are popular job titles related to Climate Modeling jobs in Ontario?

For Climate Modeling jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Climate Modeling jobs in Ontario look for?

The top searched job categories for Climate Modeling jobs in Ontario are:

Climate Modeling jobs near you
Infographic showing various Climate Modeling job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,643 per year, or $35.9 per hour.

Senior Model Risk & Validation Consultant

Wawanesa Insurance

Ottawa, ON • Hybrid

CA$120K - CA$145K/yr

Full-time, Part-time

Retirement, PTO

Re-posted 11 days ago

Key responsibilities

  • Conduct independent validation and challenge of enterprise-wide models across the full model lifecycle, including statistical, actuarial, AI, and ML models.

  • Review model conceptual soundness, data inputs, assumptions, methodology, performance, stability, limitations, and intended use.

  • Support the enhancement of the Model Risk Management Framework and assist in activities related to model inventory management, validation summaries, risk assessments, and policy updates.

Job description

Job ID: 10224 


Employment Type: New Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS. 

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English. 
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $120,000 - $145,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Reporting into the Enterprise Risk Management function, the Senior Model Risk & Validation Consultant plays a key role in independent review, validation, and challenge of models across the enterprise, including traditional statistical models, actuarial models, machine learning and AI systems.
This role supports the organization's compliance with OSFI Guideline E 23 and evolving regulatory expectations for AI governance, fairness, transparency, and explainability, while promoting strong model risk governance and risk aware decision making across the enterprise. 
The successful candidate will bring strong data science and quantitative modeling expertise, combined with experience in model validation, independent review, or second line oversight, and will work with a high degree of autonomy to challenge model assumptions, methodologies, and controls.

Job Responsibilities

Independent Model Validation & Challenge

  • Conduct independent validation and effective challenge of enterprise wide models across the full model lifecycle, in line with OSFI Guideline E 23.
  • Review model conceptual soundness, data inputs, assumptions, methodology, performance, stability, limitations, and intended use.
  • Assess model risk severity and the adequacy of controls, overlays, monitoring, and governance arrangements.
  • Provide independent validation and risk challenge of AI and ML models, including data quality, bias, explainability and performance monitoring
  • Evaluate model reproducibility, explainability, documentation quality, and transparency.

Model Risk Governance

  • Contribute to the ongoing enhancement of the Model Risk Management Framework, including model inventory management, risk classification, validation standards and documentation requirements.
  • Support Model Risk Adjudication Committee (MRAC) activities by: 
    • Managing and updating enterprise model inventory.
    • Preparing independent validation summaries and risk assessments.
    • Tracking findings, remediation actions, and residual risk acceptance decisions.
    • Provide input into updates to model risk policies, procedures, and guidance, aligned with OSFI and AMF expectations.
    • Promote strong model development and monitoring practices across the organization through guidance, challenge, and education. 
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in data science, actuarial science, computer sciences, mathematics, statistics or other related discipline.
  • More than six years of model development or validation experience an asset.
  • Strong programming skills with Python and SQL.
  • Experience validating or reviewing statistical, predictive, machine learning models and AI systems. 
  • Ability to clearly explain complex technical concepts to non technical stakeholders.

#LI-AF1 #LI-Hybrid


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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