Intern, Investment Analytics Engineering

Connor, Clark & Lunn Financial Group (CC&L); Vancouver; On-site; CAD 55,000 - 65,000; Full time

Benefits offered by this job

Annual performance bonus

Inclusive recruitment process

Job summary

Connor, Clark & Lunn Financial Group (CC&L) invites an Intern to join the Investment Analytics Engineering team in Canada. You will support analytics discovery, help modernize the analytics platform, and collaborate with project leads to generate insights for affiliates' investment processes.

You will work on scalable analytics such as performance, attribution, risk, and data visualizations, while applying AI methods to enhance modelling and data querying.

Qualifications

• Pursuing a bachelor’s or master’s degree in Finance, Mathematics, Data Science, Computer Science, or a related quantitative field.
• Interest in asset management and investment analytics; prior exposure is a bonus but not required.
• Familiarity with Python, R, SQL or PowerBI is an asset and helpful for analytics work.
• Strong data querying and analytical mindset with curiosity to learn.

Responsibilities

• Support analytics discovery and platform modernization efforts.
• Work with project leads to develop scalable investment analytics and visualizations.
• Assist with data engineering tasks to strengthen data pipelines and automate workflows.
• Explore AI applications for financial modelling, anomaly detection, and NLP querying.

Skills

Python

R

SQL

PowerBI

Data storytelling

Analytical thinking

Collaboration

Problem solving

Education

Finance/Math/Data Science/Cs degree

Tools

Python

R

SQL

PowerBI

Job description

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.

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.

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 [e-mail] 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.