Analyst, Analytics Quality and Process Engineering
Connor, Clark & Lunn Financial Group Ltd. · CA
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About the Role
This role focuses on ensuring the quality of production analytics and driving continuous improvement of processes within the Process Engineering team. It's an opportunity to join a growing team with significant scope and impact.
Responsibilities
- 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.
Requirements
- 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.
- Deep knowledge of data management or investment analytics.
- Systems thinker.
- Takes ownership of your work.
- Proven track record of delivering quality data in a timely fashion.
- Practical experience with the tools and systems used in modern analytics pipelines.
- Experience developing AI solutions and programming (Python, SQL) is an asset.
- Passionate about technology and committed to continuous learning.
- Apply and integrate emerging technologies where they add value.
- 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.
- Can communicate complex concepts clearly and build alignment across stakeholders at all levels.
- 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.
- Can use judgement to make sound decisions in a timely fashion under ambiguity.
- Can work independently and proactively propose solutions.
Skills
- Python
- SQL
- AI programming assistants (e.g. GitHub Copilot)
- Automation and scheduling platforms (e.g. VisualCron, Prefect)
- Data platforms (e.g. Databricks, Microsoft Fabric)
Location
- Hybrid
Work Type
- Full-time
Experience Level
- Analyst
Education Level
- Undergraduate degree in finance, data science, or a quantitative field
- CFA or FRM designation is an asset
Salary/Compensations
- $85,000 - $120,000
- Annual performance bonus
Benefits
- Meaningful work
- Continuous learning budgets
- Paid study days
- Support for professional designations
- Competitive total compensation
- Retirement savings support
- Wellness credits
- Enhanced parental leave
- Comprehensive health benefits
- Social events
- Volunteering opportunities
- Commitment to corporate social responsibility
- Flexible work practices
- Work-life balance support
About the Company
- Connor, Clark & Lunn Financial Group is one of Canada’s top-performing asset managers.
- We are "invested in our greatest asset, you".
- Our shared goals reflect what matters most to our people: Your community, your growth, and recognizing you.
- Explore cclgroup.com for more information.
Equal Opportunity
- 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.
- AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.