Connor, Clark & Lunn Investment Management (CC&L)

Quantitative Equity Analyst Intern

Vancouver, BC
Hybrid
Posted Oct 5, 2026
1 position

US$11,000 / month

Opens an external site

Employment type: Internship / apprenticeship
Experience level: Entry, Junior · 0+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will participate in a comprehensive training program to learn quantitative equity investment management and contribute to specialized groups such as research, portfolio construction, or market implementation. Your role involves building, scaling, and monitoring quantitative models and portfolios while receiving mentorship from senior team members.

Job details

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. Quantitative Research Our Quantitative Research group focuses on generating investment ideas, testing these ideas through rigorous quantitative techniques, and ultimately developing the models that contribute to our stock forecasts. The group combines leading edge quantitative research with state-of-the-art technology to develop unique algorithmic investment strategies. Portfolio Management Portfolio Management consists of two functions: Portfolio Construction and Market Implementation. Our Portfolio Construction group aims to maximize the capture of investment insights in portfolios. The group focuses on developing advanced optimization and portfolio monitoring systems, along with resilient and efficient portfolio management capabilities. The group actively monitors markets and portfolio exposures to ensure a robust portfolio construction process, as well as to generate analysis in support of client and sales initiatives. Our Market Implementation group strives to minimize market impact and maximize trading alpha capture through trading research, systematic execution, and strong external counterparty relationships. The group integrates market structure expertise and trading insights to create optimal trading strategies for our daily portfolio rebalancing. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, you are working towards an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. The monthly salary for this position is $11,000. Students in their final internship term are preferred. To apply for this position, please submit your resume, cover letter, and academic transcripts. Learn more by exploring our website: www.cclimq.com #LI-HYBRID #LI-RC1 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.

What you’ll do

Requirements

Candidates should be working towards an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or a related discipline. You must possess an analytical mindset, strong financial knowledge, and the ability to work collaboratively in a fast-paced environment.