Quantitative Researcher

Quantitative Researcher at Connor, Clark & Lunn Investment Management

Connor, Clark & Lunn Investment Management is seeking a Quantitative Researcher to join its dynamic and entrepreneurial Fixed Income Team. This role offers the unique opportunity to develop proprietary analytics that directly guide investment decisions across a wide range of fixed income mandates. As one of the few fixed income teams in Canada building an integrated quant capability from the ground up, you will gain meaningful exposure, responsibility, and grow alongside a small, highly collaborative investment team within a private firm. Connor, Clark & Lunn has been recognized with the Coalition Greenwich Award for Best Asset Manager for Institutional Investors in Canada for 2025.

Our offices currently operate on a hybrid model with a combination of in-office and remote working days throughout the week.

What You Will Do

• Use programming and data analysis to gain insights into the Fixed Income market
• Create analytics to support investment decision making
• Become a specialist in credit risk/valuation modeling
• Clearly communicate research proposals and results in a collaborative setting

What You Bring

• Academic Training: You have a master’s degree in a quantitative field with sound understanding of the Fixed Income market and options modelling. Exceptional achievements and recognition (e.g., research or awards, strong academic records) are helpful in demonstrating your abilities.
• Relevant Work Experience: You have 1 – 5 years of relevant work experience showcasing independent research abilities.
• Deeply Analytical: You possess an analytical mind and enjoy mental challenges. An ability to perform deep thoughtful analysis is required for this role.
• Collaborative Communication: 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.

CPP Investments recently published a case study highlighting CC&L Investment Management's innovative and collaborative approach to quantitative investing in Canada. Read the full article here: Pioneering the Quant Frontier.

Connor, Clark & Lunn Investment Management Ltd. is part of the Connor, Clark & Lunn Financial Group Ltd. (CC&L Financial Group), a multi-boutique investment management company whose affiliates collectively manage over $179 billion in financial assets. Our affiliation with the CC&L Financial Group allows us to best deliver on the mission to provide superior performance and service to our clients.

Connor, Clark & Lunn Investment Management 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.

Compensation & Application

The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications.

To apply for this position, please submit your resume, cover letter, and academic transcripts.

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.

Key skills/competency

• Quantitative Research
• Fixed Income Markets
• Data Analysis
• Options Modeling
• Credit Risk Modeling
• Valuation Modeling
• Programming (e.g., Python, R)
• Investment Decision Support
• Financial Analytics
• Collaborative Communication