Intern, Quantitative Equity Analyst

Connor, Clark & Lunn Investment Management; Vancouver; On-site; CAD 108,000 - 132,000; Full time

Job summary

Connor, Clark & Lunn Investment Management in Vancouver offers a dynamic role within our quantitative equity team, blending research, data science, finance, and technology. You will start with a structured training program and then join a specialized group based on fit and preference.

The role emphasizes building and sizing quantitative models and portfolios, with coaching from senior members and a clear path for career growth in a fast-paced, collaborative setting.

Qualifications

• Analytical mindset with statistical validation.
• Strong understanding of finance, economics, and corporate financial statements.
• Self-starter with accountability for timely, high-quality work.
• Collaborative attitude and ability to communicate complex ideas clearly.
• Ability to manage multiple projects and meet deadlines.
• Academic training toward an undergraduate degree; CFA or related advanced degree is a plus.

Responsibilities

• Complete a comprehensive training program to learn quantitative equity investment management.
• Join a specialized group based on fit and preference and contribute accordingly.
• Assist in building, scaling, managing, monitoring, and trading quantitative models and portfolios.
• Receive coaching and mentorship from senior team members to grow professionally.
• Support career progression through structured development and collaboration.

Skills

Analytical mindset

Financial knowledge

Self-starter

Collaborative approach

Time management

Industry experience

Education

Undergraduate degree in finance, mathematics, statistics, computer science, or engineering

Job description

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 $111 billion 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 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 havea 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.

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.Successful applicants must be eligible to work in Canada on their start date.

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CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.