Quantitative Research Analyst
Connor, Clark & Lunn Financial Group
Vancouver, BC
Connor, Clark & Lunn Investment Management Ltd.
Vancouver, BC

Connor, Clark & Lunn Investment Management (CCL) has managed institutional portfolios using proprietary quantitative models for over 16 years and has grown to become one of the largest quantitative equity teams in Canada. The team is responsible for managing Canadian and global equity portfolios in excess of $20.4 billion Canadian dollars.

We recognize that our continued success is dependent on attracting highly talented and motivated individuals whose skills and interests are closely aligned with the firm’s growth opportunities. We are currently seeking a Quantitative Research Analyst to join our Quantitative Equity Team.

As part of the Research team, the analyst will work with other team members to conduct quantitative research and develop enhancements to our equity models and investment process. This role is ideally suited to an individual who:
Is motivated by intellectually challenging problems that require both determination and creativity to solve
Thrives in a results oriented and highly collaborative environment
Is seeking to build a career over the long-term with a team where they will have opportunities to make direct and significant contributions

Conduct research that integrates investment intuition and empirical analysis to develop statistical models for equity return prediction, risk modeling and portfolio construction
Contribute unique ideas, insights, expertise and experience to other research projects through formal and informal collaboration
Work closely with portfolio managers, data analysts and developers to carry out projects and implement enhancements

Candidate Profile:
Two to five years of work experience where the primary responsibility involved the application of mathematics, statistics, machine learning or other empirical analysis to develop quantitative models
An undergraduate or graduate degree in mathematics, statistics, quantitative finance, computer science, econometrics or related discipline
Exceptional analytical skills and ability to think critically and creatively
Understanding of equity markets and analysis of financial statements
Able to communicate and collaborate clearly and effectively in formal and informal settings
Experience analyzing and working with large and disparate data sets
Completion of CFA is considered an asset
To apply for this position, submit your cover letter and resume.

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.