Build Python-powered data workflows and analytics at CPP Investments, supporting portfolio management, trading, and investment decision-making. This is a 12-month contract.As an Associate, Investment Engineering & Analytics, you will develop scalable solutions within Total Fund Management. The work spans data ingestion, transformation, deployment, analytics, and reporting. You will also support models and analytics for portfolio construction, rebalancing, and investment research.Key Responsibilities:



Design end-to-end data workflows from ingestion through deploymentBuild Python automation using AI-assisted development toolsDevelop dashboards and reporting for investment decisionsMaintain models supporting portfolio construction and rebalancingIdentify process optimization and automation opportunitiesRequirements: Bachelor's degree in finance, engineering, computer science, or mathematicsThree to five years of relevant finance or investment experienceProficiency in Python; pandas or Num Py experience is an assetStrong analytical and problem-solving skillsSQL, dashboarding, AI/ML, or prompt engineering experience is valuedApply Python, analytics, automation, and investment knowledge to scalable solutions supporting CPP Investments’ Total Fund Management.#J-18808-Ljbffr

📌 Investment Engineering Data Analytics Associate (Toronto)
🏢 CPP Investments | Investissements RPC
📍 Toronto