- Run and improve the efficiency of investment risk processes
- Maintain and develop investment risk models
- Design, specify, and support implementation of detailed risk reports and analysis consistent with investment and related policies
- Analyze risk metrics and provide insights to the team and partners
- Contribute to complex strategic projects, mandates, and activities
- Contribute to evaluating and implementing risk management frameworks
- Implement risk management processes based on industry best practices
- Contribute to the running, development, and maintenance of asset-liability, market, credit, liquidity, and regulatory investment risk models and reports
- Assist in building systems infrastructure to improve efficiency, automation, and insight-driven analysis
- Support business and management strategic decision-making
Requirements
- 1 to 3 years of experience in the financial industry in an investment, risk, or actuarial science role
- University degree in finance, actuarial science, or another related quantitative discipline
- Motivated self-starter comfortable building current tools and models
- Strong time management skills and ability to work under tight deadlines
- Strong programming skills in Python
- Ability to work on a cross-functional team
- Advanced level of French and English for daily communication across the organization
Core Competencies
Demonstrates expertise in investment risk processes, including the development and maintenance of risk models and reports. Proficient in Python programming and capable of contributing to strategic decision-making within a cross-functional team environment.
Highest-signal resume keywords
- Investment Risk Processes
- Risk Management Frameworks
- Python Programming
- Financial Industry Experience
- Bilingual Communication