Quantitative Equity Alpha Research
Summary
Develops algorithmic investment strategies by researching financial market inefficiencies using quantitative methods, data science, and finance expertise.
We are looking for a Quantitative Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity team! We are a high-performance team embedded in a top-performing quant fund that manages over $111 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 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:
- 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
What You Bring
- 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.
- Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation.
- 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.
- 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.
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. Please note, this posting is specifically for the quantitative research group and experience in academic research is usually preferred.
#LI-HYBRID #LI-RC1
CC&L Financial Group 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.
Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.
As published by greenhouse
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
- Preferred First Name optional
- Transcript upload
- LinkedIn Profile optional
- Website optional
- Please provide your undergraduate GPA (out of 100)
- Have you been employed by Connor, Clark & Lunn Financial Group or any associated affiliates in the past? choose one
- How did you hear about the role?
- Have you ever attended a campus presentation hosted by CCLIM? choose one
- If you answered "yes" to the last question, what school was this at?
- What school do you currently study at/have you graduated from most recently? choose one
- What is your current year of study? choose one
- What is your expected graduation date if you are currently in school? choose one
- Are you interested in applying for an internship or a permanent, full time opportunity? choose one
- Acknowledgement of Privacy Policy choose one
- Review and acknowledge how we handle your data choose one
- Have you applied to any roles at Connor, Clark & Lunn Financial Group or any associated affiliates in the past 6 months? choose one · optional
- Are you legally eligible to work in the country of the role you are applying to? choose one