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Senior Manager, Climate Scenario Modelling – Enterprise Stress Testing


This is a Contract position in Toronto, ON posted November 3, 2020.




Requisition ID: 91508


Join the Global Community of Scotiabankers to help customers become better off.


As part of Scotiabank Global Risk Management, the Enterprise Stress Testing (EST) team is responsible for assessing the impact of scenarios that may adversely affect the Bank’s portfolio. The group is responsible for methodology, development, and support of models that forecast tail risk for all products.


Within the EST team, the candidate will develop quantitative models to assess the financial impact of climate change scenarios on the Bank’s lending portfolio. The ideal candidate is comfortable with quantitative statistical analyses and has a strong interest in financial products, risk management, and the impacts of climate change. The candidate should be able to conduct independent research and propose solutions to complex multi-faceted problems. The candidate should have experience dealing with large amounts of data, as well as combining data from several disparate sources to arrive at the solution to problems.  Strong written and verbal communication skills are essential.


What you’ll do in this role?

  • Conduct research of new best practices for financial modeling of climate related risks.
  • Develop new models to assess the impact of climate change on the Bank.
  • Prototype new approaches for risk measurement.
  • Collaborate with other risk modelling teams to integrate new models into the Bank’s processes.
  • Develop supportive documentation for the analysis and methodology of climate change risk.
  • Conduct ad-hoc climate change related analysis for senior management and business lines.



What we’re looking for?

  • Post-Secondary Education in quantitative discipline such as (but not limited to) economics, financial engineering, statistics, physics, engineering, data science, or mathematics, with a strong interest in risk, statistical modeling, research and data visualization
  • Knowledge of financial products, risk management, and a keen interest in understanding the financial impacts of climate change
  • Strong programming skills for data analysis in a programming language such as Python or R
  • Exposure to data science, probabilistic modelling, and the ability to manipulate large amounts of data
  • Exceptional problem solving skills
  • Strong written and verbal communication skills
  • Attention to detail, ability to work independently, prioritize, and multi-task
  • Machine learning knowledge, or a willingness to learn, is an asset
  • Experience with Unix shell scripting or other scripting languages is desired
  • Independent research or experience of high impact work in a quantitative discipline is desired


This position is located in downtown, Toronto


Location(s):  Canada : Ontario : Toronto 

As Canada’s International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.


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.