Analyst, Quality Analytics and Process Engineering

Job summary

The analyst will maintain and validate production analytics, including performance, attribution, and risk values across multiple systems. They are responsible for identifying process improvements, automating workflows, and ensuring data quality through robust governance and controls.

Job details

Are you interested in joining one of Canada’s top-performing asset managers? We are looking for an Analyst, Quality Analytics to join our Process Engineering (PE) team. The ideal candidate is an individual contributor who takes ownership of the quality of our production analytics, and the continuous improvement of our processes. This is a fantastic opportunity to join a team whose scope and impact continue to grow. What You Will Do * Maintain and validate the accuracy of calculated analytics including performance, attribution, and risk values across multiple systems. * Analyze data-quality exceptions and support timely resolution and signoff. * Manage and enable scheduled processes that calculate, save, and validate analytics. * Proactively identify opportunities to simplify processes, reduce manual effort, and address common points of failure. * Enhance our analytics governance framework by ensuring processes follow design best practices, are scalable, and automated. * Identify, mitigate, and escalate process risks. Implement appropriate controls. * Act as an analytics expert and an escalation point for process questions. What You Bring * An undergraduate degree in finance, data science, or a quantitative field. Completion of a relevant designation, such as the CFA or FRM, is an asset. * Experience in data management, business process design, asset management, or a similarly complex environment is an asset. * You have deep knowledge of data management or investment analytics, are a systems thinker, and take ownership of your work. You have a proven track record of delivering quality data in a timely fashion. * You have practical experience with the tools and systems used in modern analytics pipelines. Experience with Python, SQL, AI programming assistants (e.g. GitHub Copilot), automation and scheduling platforms (e.g. VisualCron, Prefect), and data platforms (e.g. Databricks, Microsoft Fabric) is an asset. Experience developing AI solutions and programming (Python, SQL) is an asset. * Passionate about technology and are committed to continuous learning. You apply and integrate emerging technologies where they add value. You bring the “art of the possible” to solution design. * Strong problem solver who can identify patterns, generate insights, and approach ambiguous problems with structure and creativity. * You can communicate complex concepts clearly and build alignment across stakeholders at all levels. You have a collaborative spirit, can navigate different perspectives, and promote alignment toward common organizational goals. * Identify, assess, and mitigate process risks, and escalate issues proactively when needed. * You can use judgement to make sound decisions in a timely fashion under ambiguity. You can work independently and proactively propose solutions. The salary range for this position is $85,000 - $120,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process. #LI-HYBRID #LI-SJ1 For a closer look at how you can build your career with us, we invite you to explore cclgroup.com [https://cclfg.cclgroup.com/careers/working-at-ccl/]. 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. We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact talentacqusition@cclgroup.com [talentacqusition@cclgroup.com] if you require accommodation. 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.

What you’ll do

The analyst will maintain and validate production analytics, including performance, attribution, and risk values across multiple systems. They are responsible for identifying process improvements, automating workflows, and ensuring data quality through robust governance and controls.

Requirements

Candidates must hold an undergraduate degree in finance, data science, or a quantitative field, with professional designations like CFA or FRM considered an asset. Proficiency in Python, SQL, and experience with modern data platforms and automation tools is highly preferred.

Benefits

• Annual performance bonus

Listed skills

• SQL · Preferred
• Risk Management · Preferred
• Process Control · Preferred
• data management · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data management
• Investment analytics
• Python
• SQL
• Process engineering
• Data quality
• Risk management
• Automation
• Financial modeling
• Performance attribution
• Systems thinking
• Stakeholder management
• Databricks
• Microsoft Fabric
• GitHub Copilot
• Process control
• Continuous Development
• Pipelines
• Solution Design
• Emerging Technologies
• Artificial Intelligence
• Asset Management
• Business Process Modeling
• Chartered Financial Analyst
• Continuous Improvement Process
• Creativity
• Data Management
• Process Engineering
• Finance
• Governance
• Scalability
• Problem Solving
• Python (Programming Language)
• Performance Attribution
• SQL (Programming Language)
• Scheduling
• Data Science

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Engineering
• Quality Business Analyst
• Data Quality Analyst
• Management and Organization Analysts
• Business Intelligence Analysts
• Data Scientists