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. 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: 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. 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.