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Connor, Clark & Lunn Financial Group Ltd.

Analyst, Investment Insights

Posted One Month Ago
Be an Early Applicant
Hybrid
Toronto, ON, CAN
Entry level
Hybrid
Toronto, ON, CAN
Entry level
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.
The summary above was generated by AI

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 expected base salary range for this position is $85,000–$120,000. The midpoint represents our general market target for a fully qualified and experienced individual performing the role. Actual starting salary may fall below or above the midpoint depending on the candidate's relevant experience, skills and qualifications, as well as internal equity considerations. Further questions may be directed to the HR team during the interview process.

#LI-HYBRID #LI-SJ1

What We Offer   
At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

  • Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
  • Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
  • Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.


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.

Connor, Clark & Lunn Financial Group Ltd. Toronto, Ontario, CAN Office

Toronto, Canada

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