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 bottle necks 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.

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.

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.

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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.