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 new 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 setting.