Quantitative Data Analyst, Investment Data
Company: Connor, Clark & Lunn Investment Management (CC&L)
Location: Vancouver, British Columbia
Type: Full-time
Level: mid
Posted: 2026-02-06
About this role
Quantitative Data Analyst
Connor, Clark & Lunn Investment Management Ltd.
Vancouver, BC
We are looking for a Quantitative Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research.
Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success.
What You Will Do
This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges.
You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process.
You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources.
You will be supported with coaching and mentorship ...