Investment analytics and data science meet in this Intern position with Connor, Clark & Lunn Financial Group. Apply technology to financial insights and solutions.

As an Intern on the Investment Analytics Engineering team, you will support analytics discovery and platform digital transformation efforts. You will explore insight-generation ideas with project leads while applying investment analytics and data science knowledge. Your work will support affiliates’ investment processes and analytics platform modernization.

Key Responsibilities:
Research and propose current analytic methodologies
Develop scalable performance, attribution, risk, and exposure analytics
Transform data and prepare visualizations and business intelligence outputs




Support workflow improvements and strengthen data pipelines
Apply AI to modelling, anomaly detection, and database querying

Requirements:
Pursuing a quantitative bachelor’s or master’s degree
Curiosity about asset management and investment analytics
Familiarity with Python, R, SQL, or PowerBI is an asset
Ability to understand, query, and analyze datasets
Analytical, cooperative, and improvement-oriented approach

Develop investment analytics, data science, and technology skills while supporting platform transformation at Connor, Clark & Lunn Financial Group.

📌 Investment Analytics Engineering Intern Toronto
🏢 Connor, Clark & Lunn Financial Group
📍 Toronto