Quantitative Equity Research, Intern
Connor, Clark & Lunn Investment Management Ltd.
Vancouver, BC
We are looking for a Quantitative Research Intern to join our fast-paced and entrepreneurial Quantitative Equity team for 4-8 months starting January 2026! We combine leading edge quantitative research with state-of-the-art technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration has enabled us to deliver top tier performance for over two decades. Today, our clients entrust us with over $42 billion in assets across a range of investment mandates.
What You Will Do
As an intern on the quantitative research team, you will help tackle a broad array of challenges at the Intersection of finance, data science, and technology. We seek to identify novel predictors of business outcomes and model complex inefficiencies in constantly evolving financial markets. Our focus is on developing cutting edge and uniquely powerful investment insights.
This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to investing. You will work with key decision makers on the team and have a broad range of responsibilities, including:
- Research and development of new investment models
- Generating ideas for new investment insights
- Apply a variety of skills and techniques in finance, data science and statistics
- Collaborate with our technology, portfolio management and investment process teams to deliver exceptional investment performance
What You Bring
- Domain Expertise – You have a deep understanding of the drivers of business success, securities valuation, and markets. You can effectively apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities.
- Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation.
- Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science or related discipline. Graduate level studies are valuable in this role. Exceptional achievements and recognition (e.g., research or awards) are helpful in demonstrating your abilities.
- 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.
About Connor, Clark & Lunn Investment Management
Connor, Clark & Lunn Investment Management is a global institutional asset management firm established in 1982 and based in Vancouver, Canada. Our strong, stable team of investment professionals manages a broad range of investment solutions that includes traditional mandates such as developed and emerging market equities and fixed income, as well as alternative strategies such as portable alpha, market neutral and absolute return. As of October 2021, we manage $50B in client assets.
About Connor, Clark & Lunn Financial Group
At Connor, Clark & Lunn Financial Group, we understand the value of opportunity – for our clients and our team. Independent and employee-owned, we partner with investment professionals to grow successful asset management businesses, giving them the space to innovate and truly make an impact.
With more than 40 years of history and offices across Canada and in the US, the UK and India, CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over $155 billion in assets, providing a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth and retail clients.
For a closer look at how you can build your career with us, we invite you to explore www.cclgroup.com.
CC&L 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.
We welcome applications from candidates with different academic disciplines, including but not exclusive to Finance, Economics, Mathematics, Statistics, Computer Science, Data Science, Physics. Students in their final internship term are preferred and the monthly salary for this position is $11,000.
To apply for this position, please submit your resume, cover letter and transcript. Please note, this posting is specifically for the quantitative research group and a minimum cumulative GPA of 3.7 or experience in academic research is required.
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.
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