Connor, Clark & Lunn Financial Group Ltd.
Intern, Investment Analytics Engineering
Are you interested in joining one of Canada’s top-performing asset managers? We are looking for an Intern to join our Investment Analytics Engineering team. The IA Engineering Team exists at the intersection of financial analytics and programming/data science. The ideal candidate has a passion for both sides of the role, understands complex financial concepts, and can apply technology to find insights and implement solutions. This is a fantastic opportunity to join a high-impact, high-skill team whose scope and impact continue to grow.
What You Will Do
In this position, you will support our team's analytics discovery and platform digital transformation efforts. You will work with project leads to explore ideas for insight generation, applying your investment analytics and data science knowledge to support affiliates' investment processes. You will also contribute to the modernization of our analytics platform, supporting its methodology, design, and implementation. Key responsibilities for this business role include:
- Assist in research and propose new analytic methodologies; identify opportunities to enhance decision-making and expand our analytics offering.
- Assist in developing scalable investment analytics (e.g., performance, attribution, risk, exposure, modeling), including transforming data and preparing/building data visualizations and business intelligence outputs.
- Support process and workflow improvements to enhance efficiency and reduce risk, including assisting with data engineering tasks that strengthen data pipelines.
- Propose and apply AI where it adds value, such as in financial modelling, anomaly detection, and natural-language database querying.
What You Bring
- Education – Pursuing a bachelor’s or master’s degree in Finance, Mathematics, Data Science, Computer Science, or a related quantitative field.
- Interest in the Industry – Curiosity about the asset management industry and investment analytics. Prior exposure is a bonus but not required.
- Passion for Technology – Enjoy working with data and are eager to develop skills in extracting insights through technology. Familiarity with Python, R, SQL, or PowerBI is an asset.
- Foundational Data Skills – Building on the ability to understand, query, and analyze information from datasets, and you’re eager to grow your data science skill set through hands-on experience.
- Problem Solver – Approach problems with an analytical mindset, enjoy identifying patterns, and are motivated to learn how to develop practical solutions.
- Collaborative – Work well with others, contribute positively to team discussions, and communicate clearly as you learn and ask questions.
- Growth & Improvement Mindset – Consistently look for ways to improve how things are done, willing to take a critical view of processes, and able to support multiple tasks or mini projects.
The salary range for this position is $55,000-$65,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation of this position. Further questions may be directed to the HR team during the interview process.
#LI-ND1 #LI-Hybrid
For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.
We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [email protected] if you require accommodation
AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.
We thank all applicants in advance for their interest, but only those candidates shortlisted for interviews will be contacted. No telephone calls or recruitment agencies will be accepted.
