Quantitative Equity Research, Intern

Connor, Clark & Lunn Investment ManagementVancouver, BC

About The Position

We are looking for a Quantitative Research Intern to join our fast-paced and entrepreneurial Quantitative Equity team for 4-8 months starting in September 2026! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. 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. 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

Requirements

  • Deep understanding of the drivers of business success, securities valuation, and markets.
  • Ability to apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities.
  • Experience with producing rigorous quantitative research, particularly in finance.
  • Adept at balancing intuition with statistical validation.
  • Working towards an undergraduate degree in finance, mathematics, statistics, computer science or a related discipline.
  • Exceptional achievements and recognition (e.g., research or awards) are helpful in demonstrating your abilities.
  • Thrive in a collaborative environment and value shared success.
  • Proactively solicit and provide input and excel at communicating complex and technical concepts.
  • Students in their final internship term are preferred

Responsibilities

  • 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
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