Investment Engineering Data Analytics Associate
Posted
Summary
12-month contract at CPP Investments building Python-powered data workflows — ingestion, transformation, deployment, dashboards, and reporting — within Total Fund Management. Also maintains models for portfolio construction and rebalancing, using Python (pandas/NumPy), SQL, and AI-assisted development tools.
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 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 automation opportunities 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 experience is an asset Strong analytical and problem-solving skills SQL, dashboarding, AI/ML, or prompt engineering experience is valued Apply Python, analytics, automation, and investment knowledge to scalable solutions supporting CPP Investments’ Total Fund Management.
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 automation opportunities 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 experience is an asset Strong analytical and problem-solving skills SQL, dashboarding, AI/ML, or prompt engineering experience is valued Apply Python, analytics, automation, and investment knowledge to scalable solutions supporting CPP Investments’ Total Fund Management.