Quantitative Equity Analyst – Process Engineering

We are looking for a Quantitative Equity 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 finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence.

As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success.

What You Will Do

This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, 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 science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers.

You will be supported with coaching and mentorship from senior members of the team.

We are creating the conditions for you to grow your career steadily over time.

Investment Process Management

The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading.

Skills

While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets:

Process and Reliability Engineering

• Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes.
• Design robust, high performance and effective process orchestration.
• Monitor production health and respond to critical issues in a timely manner.
• Effectively communicate real-time production issues to portfolio managers, traders and researchers.
• Identify computational bottlenecks and improve run speeds in production systems.
• Collaborate with investment teams to ensure their process needs are being met.
• Find and evaluate areas for process improvements.
• Assess and evaluate data quality of production processes.
• Maintain process repos, clean code and tools within production processes.

Data Science

• Construct and run algorithms to explore and assess data effectively.
• Validate structured and unstructured data sets for data quality.
• Design and test data loaders and security matching processes and specifications.
• Perform data analysis and provide data expertise to support researcher’s projects.
• Facilitate production machine learning operational pipelines with effective and timely auditing and analysis.
• Enable accessibility and clarity within our data assets through robust documentation and data scrubbing.
• Develop robust methodologies for assessing and analyzing data in time critical production environments.
• Respond to and mitigate vendor data issues effectively in a production setting.
• Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes.
• Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner.

Reasons to Grow Your Career with Us

• Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business.
• Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake.
• Development – We create conditions for success tailored to each employee through internally developed career development plans.
• Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members.
• Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives.

What You Bring

• Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation.
• Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements.
• Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work.
• 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.
• Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities.
• Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset.
• Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields.

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.

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