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About the Role
Join one of Canada’s top-performing asset managers as an Analyst on the Investment Insights (II) team. You will collaborate with investment teams to create analytics that generate actionable insights, leveraging investment analytics and data science to enhance investment processes. This role focuses on the design and development phases of the analytics delivery lifecycle, offering a chance to join a high-impact, growing team.
Responsibilities
- Develop analytics that generate investment insights and improve affiliate investment manager effectiveness.
- Build a deep understanding of affiliate investment strategies and workflows.
- Proactively research and propose new analytic methodologies; identify opportunities to enhance decision-making and expand our analytics offering.
- Serve as a thought leader in investment analytics.
- Collaborate with investment managers and senior leadership to iterate on proofs of concept.
- Partner with the Platform and Methodology Team to productionalize and scale these analytics.
- Leverage financial datasets and tools to create and enrich analytics, including performance, attribution, portfolio risk and exposure, machine learning stock screeners, hypothetical scenario analysis, competitor analysis, liquidity risk, trade monitoring, ESG scoring frameworks, fee analysis, etc.
- Investigate and resolve complex issues using strong understanding of analytics methodologies.
- Explain business logic and technical concepts clearly, adjusting communication style for the audience.
- Apply AI where it adds value, such as in financial modelling, anomaly detection, and natural-language database querying.
- Identify, assess, and mitigate process risks, and escalate issues proactively when needed.
- Use judgement to make sound decisions in a timely fashion under ambiguity.
- Be self-directed, proactive, and comfortable proposing solutions.
Requirements
- An undergraduate degree in finance, data science, or a quantitative field.
- Deep knowledge in investment analytics, investment management, or data science.
- Systems thinker and take ownership of work.
- Practical experience with tools and systems used in modern analytics pipelines.
- 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.
- Can use judgement to make sound decisions in a timely fashion under ambiguity.
- Self-directed, proactive, and comfortable proposing 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)
- Data visualization tools (e.g. PowerBI, Tableau)
Location
- Hybrid
Work Type
- Hybrid
- 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
- Social events
- Volunteering opportunities
- Commitment to corporate social responsibility
- Flexible work practices
- Work-life balance support
- Continuous learning budgets
- Paid study days
- Support for professional designations
- Competitive total compensation
- Retirement savings support
- Wellness credits
- Enhanced parental leave
- Comprehensive health benefits
About the Company
- Connor, Clark & Lunn Financial Group is invested in its people.
- We foster belonging through collaboration, inclusion and flexibility.
- Our shared goals reflect what matters most to our people.
- We prioritize employee development with meaningful work and continuous learning.
- Employee contributions are recognized with competitive compensation and benefits.
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.