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Added 1 min ago
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Connor, Clark & Lunn Financial Group Ltd.

Intern, Investment Analytics Engineering

Vancouver, BC, Canada

Pay: The salary range for this position is $55,000-$65,000.
Posting language: English
Posted: Sep 28, 2026

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Original 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. 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.

What We Offer
At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

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 talentacquisition@cclgroup.com 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.

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More about this job

Responsibilities

The intern will support analytics discovery and platform digital transformation by applying data science to investment processes. Responsibilities include developing scalable investment analytics, enhancing data pipelines, and proposing new analytic methodologies.

Requirements

Candidates must be pursuing a bachelor’s or master’s degree in Finance, Mathematics, Data Science, Computer Science, or a related quantitative field. Strong analytical skills and familiarity with tools like Python, R, SQL, or PowerBI are highly valued.

Skills

Investment analytics
Data science
Python
R
SQL
PowerBI
Financial modeling
Data engineering
Anomaly detection
Natural-language querying
Business intelligence
Performance attribution
Risk analysis
Data visualization
Analytical mindset

Benefits

Performance bonus
Retirement savings support
Wellness credits
Enhanced parental leave
Comprehensive health benefits
Continuous learning budgets
Paid study days
Flexible work practices

Visa sponsorship

Not detected in the job text

Keywords

Investment Analytics
Asset Management
Data Science
Python
R
SQL
PowerBI
Financial Modeling
Data Engineering
Anomaly Detection
Natural-Language Querying
Business Intelligence
Performance Attribution
Risk Management
Data Visualization
Quantitative Analysis
Digital Transformation
Investment Processes
Artificial Intelligence
Financial Analytics

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