Analyst, Investment Insights

Posted 3 Days Ago
Be an Early Applicant
Toronto, ON, CAN
Hybrid
85K-120K Annually
Entry level
Financial Services
The Role
Develop investment analytics that improve investment manager effectiveness and decision-making. Research analytic methodologies, build proofs of concept, work with investment teams and leadership, and productionalize solutions with platform teams. Analyze financial datasets across performance, risk, attribution, liquidity, ESG, fees, and trading. Apply AI to financial modeling, anomaly detection, and natural-language data queries while resolving complex issues and communicating technical concepts clearly.
Summary Generated by Built In

Are you interested in joining one of Canada’s top-performing asset managers? We are looking for an Analyst to join our Investment Insights (II) team. In this position you will work with investment teams to create analytics that generate actionable insights. You will leverage your knowledge of investment analytics and data science to improve affiliate’s investment processes. You will contribute across the full analytics delivery lifecycle with a focus on design and development. This is a fantastic opportunity to join a high-impact, high-skill team whose scope and impact continue to grow.

What You Will Do

  • 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. Current analytics include 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 your strong understanding of analytics methodologies.
  • Explain business logic and technical concepts clearly, adjusting your communication style for a given audience.
  • Apply AI where it adds value, such as, in financial modelling, anomaly detection, and natural-language database querying.

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.
  • You have deep knowledge in investment analytics, investment management, or data science. You are a systems thinker and take ownership of your work.
  • 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), data platforms (e.g. Databricks, Microsoft Fabric), and data visualization tools (e.g. PowerBI, Tableau) is an asset. Experience developing AI solutions 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
  • 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 are self-directed, proactive, and comfortable proposing 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. 
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 [email protected] if you require accommodation.
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.



Skills Required

  • Undergraduate degree in finance, data science, or a quantitative field
  • Deep knowledge of investment analytics, investment management, or data science
  • Strong problem-solving, analytical, and structured-thinking skills
  • Ability to communicate complex technical and business concepts clearly
  • Ability to collaborate with stakeholders and build alignment
  • Ability to identify, assess, and mitigate process risks
  • Sound judgment, self-direction, and proactive decision-making under ambiguity
  • Experience with Python and SQL
  • Experience with GitHub Copilot or similar AI programming assistants
  • Experience with VisualCron, Prefect, or similar automation and scheduling platforms
  • Experience with Databricks, Microsoft Fabric, or similar data platforms
  • Experience with Power BI, Tableau, or similar data visualization tools
  • Experience developing AI solutions
  • CFA or FRM designation
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The Company
970 Employees
Year Founded: 1982

What We Do

Connor, Clark & Lunn Financial Group is a Canadian privately owned and employee-owned asset management firm. Through a multi-boutique platform and affiliated investment teams, it provides traditional and alternative investment products and services to individuals, institutional investors, and advisors. The firm offers strategies including equities and fixed income, operating across Canada, the United States, the United Kingdom, and India. Its entrepreneurial structure supports innovation and scalable investment solutions for clients worldwide.

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