1

Climate Risk Modelling Jobs in Ontario (NOW HIRING)

Meaningful workyou'llbe part of As a Credit Risk Modelling Senior Associate,you'llwork as part of a ... climate risk modeling,etc. * Build andmaintaineffective,trustingand collaborative client ...

Risk Management Pay Details: $96,900.00 - $136,800.00 CAD TD is committed to providing fair and ... Relevant disciplines include catastrophe modelling, climate science, engineering, actuarial science ...

... mobility landscape shaped by climate change, urbanization, and digitalization. Role ... risk modelling * Experience planning and facilitating hazard studies such as HAZAN and HAZOP to ...

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

... climate change. Learn more at wawanesa.com. We are currently looking for dedicated, driven, and ... modelling role using one or both of RMS and AIR Verisk. * Proficiency in catastrophe modeling ...

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

... climate change. Learn more at wawanesa.com. We are currently looking for dedicated, driven, and ... modelling role using one or both of RMS and AIR Verisk. * Proficiency in catastrophe modeling ...

next page

Showing results 1-20

Climate Risk Modelling information

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 are the key skills and qualifications needed to thrive as a climate risk modeller?

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 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.

Do climate risk modelling jobs pay well?

Climate risk modelling jobs typically offer competitive salaries, especially for roles requiring advanced skills in data analysis, climate science, and programming. Salaries vary based on experience, education, and location, with many positions offering additional benefits such as professional development opportunities and project-based work.

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

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

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

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

Infographic showing various Climate Risk Modelling job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.

Senior Manager, Climate Risk Modelling (Contract)

Toronto, ON • On-site

Scotiabank
Banking and Credit Intermediation • 10K+ employees

Contractor

Medical, Retirement

Posted 22 days ago


Job description

Requisition ID: 269915 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Contributes to the overall success of climate risk modelling globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team's business strategies and objectives.  Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

Is this role right for you? In this role, you will:    

  • Takes a leading role to develop new models to assess the impact of transition and physical risks due to climate change on the Bank.  Responsibilities include:
    • Conduct research on best practices for financial modeling of climate related risks
    • Explore model methodologies and make sound recommendations
    • Evaluate and understand implications of different data sources and global climate scenarios
    • Build models and run analyses to test sensitivity of assumptions
  • Develop appropriate metrics and reporting to support use of climate scenario analysis for climate risk and opportunities; Clearly communicate methods and results to stakeholders
  • Collaborate across Bank to integrate climate risk into Bank's processes, including supporting other stress testing functions to develop climate risk stress testing
  • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation.
  • Takes a leading role in managing relationships with subsidiaries globally. Works with subsidiaries to understand needs, provide analysis, and support interpretation.
     
  • Builds, enhances, and automates processes to facilitate ongoing monitoring and maintenance of models and analyses of quarterly results. Executes quarterly processes and is accountable for the timely analysis of quarterly results. Produces ad hoc analyses as required.
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
  • Champions a high-performance environment and contributes to an inclusive work environment. 


Do you have the skills that will enable you to succeed? We'd love to work with you if you have: 
 

  • Advanced degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Data Science, Engineering, Finance, or a related field).
  • Demonstrated experience independently developing, implementing, and validating quantitative models.
  • Strong data science and analytical skills, including the ability to source, manipulate, and analyze large and complex datasets.
  • Proficiency in Python for data analysis, modelling, and automation
  • Experience working with analytics and development tools, including version control platforms (e.g., Git/Bitbucket) and data visualization/reporting tools (e.g., Power BI).
  • Experience with geospatial analytics and related tools (e.g., ArcGIS, GeoPandas, QGIS).
  • Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
  • Strong problem-solving skills, intellectual curiosity, and a high degree of attention to detail.
  • Knowledge of OSFI B-15 Climate Risk Management requirements and climate scenario frameworks (e.g., NGFS scenarios).
  • Experience supporting model validation, audit, regulatory review, or model governance activities preferred.

What's in it for you?

  • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
  • Your career matters! You will have access to career development and progression opportunities.

Please note this is a 9 month contract. 

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.