Build Python-based investment analytics at CPP Investments as an Associate supporting portfolio management, trading, and decision-making. Develop scalable data solutions within Total Fund Management. This 12-month contract Associate role sits within the Total Portfolio Investment Platforms team. You will deliver data, analytics, and AI-enabled capabilities for investment processes. The work spans ingestion, transformation, dashboards, reporting, automation, and production-ready tools supporting portfolio construction, rebalancing, and research.

Key Responsibilities
Design end-to-end data workflows from ingestion through deployment
Build Python automation using AI-assisted development tools
Develop dashboards and reporting for investment decisions




Maintain models supporting portfolio construction and rebalancing
Identify process optimization and efficiency prospects

Requirements:
Bachelor’s degree in finance, engineering, computer science, or mathematics
Three to five years of relevant finance or investment experience
Proficiency in Python; pandas or NumPy is an asset
Solid analytical, problem-solving, and communication skills
SQL, dashboarding, AI/ML, or automation experience is valued Apply Python, analytics, automation, and investment knowledge to scalable solutions supporting CPP Investments’ portfolio platforms.

📌 Investment Engineering Data Associate Toronto
🏢 Canada Pension Plan Investment Board
📍 Toronto