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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 |
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
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