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Analyst Jobs

Company

iA Global Asset Management

Address Montreal, Quebec, Canada
Employment type FULL_TIME
Salary
Expires 2023-08-30
Posted at 9 months ago
Job Description

We are searching for an enthusiastic individual to join our fast-growing Investment Risk team to tackle new challenges in a continuous improvement environment.

As a member of the Investment Risk team, you will be contributing to the running, development, and maintenance of asset-liability, market, credit, liquidity and regulatory investment risk models and reports covering General and Pension Funds. Your work will ultimately be used to support the business and management in strategic decision-making. Additionally, you will be assisting in the build-out of our systems infrastructure to improve efficiency, automation, and insight-driven analysis.


Possible Locations: Toronto, Montreal or Quebec City


More specifically, you will:

  • Design, specify, and support implementation of detailed risk reports and analysis consistent with the investment policy and other investment-risk-related policies.
  • Run and improve efficiency of investment risk processes.
  • Contribute to the evaluation and implementation of risk management frameworks.
  • Analyze risk metrics and provide insights to the team and our partners.
  • Implement risk management processes based on industry best practices.
  • Contribute to a variety of complex strategic projects, mandates, and activities.
  • Maintain and develop investment risk models.


Job requirements:

  • Very strong programming skills (SAS, SQL, R, and/or Python).
  • Experience with an investment risk system (an asset).
  • Good knowledge of financial and insurance products.
  • Solid command of English and/or French (oral and written).
  • Some relevant work experience related to investments, investment risk or actuarial science.
  • University degree in finance, actuarial science, or other related quantitative discipline.
  • CFA, FRM or PRM certification (an asset).
  • Knowledge of investment risk concepts and presentation of complex data.


Personal attributes:

  • Strong time management skills and ability to work under tight time deadlines
  • Motivated, self-starter, comfortable building new tools and models
  • Ability to work on a cross-functional team