Quantitative Research Analyst

We are looking for a Quantitative Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity team! 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.

As a member of 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:

1. Research and development of new investment models
2. Generating ideas for new investment insights
3. Applying a variety of skills and techniques in finance, data science, and statistics
4. Collaborating with our technology, portfolio management, and investment process teams to deliver exceptional investment performance

1. 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.
2. Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation.
3. 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.
4. 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.

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.

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 $139 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.

We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The annual base salary for this position is $125,000 - $200,000 for new graduates. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, RRSP contribution matching, health benefits, and family building benefits. Compensation will be determined based on experience and qualifications.

To apply for this position, please submit your resume, cover letter, and transcript as one PDF. Please note, this posting is specifically for the quantitative research group and experience in academic research is usually preferred.

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.