Analyst, Analytics Platform and Methodology

Posted 10 Days Ago
Be an Early Applicant
Vancouver, BC, CAN
Hybrid
85K-120K Annually
Entry level
Financial Services
The Role
Manage the end-to-end analytics production pipeline, including ingestion, calculations, distribution, dashboards, and semantic layers. Develop scalable investment analytics solutions across performance, attribution, risk, exposure, and investment models. Support proprietary and third-party analytics tools, resolve complex methodology issues, translate technical concepts for stakeholders, and improve workflows while managing process risks.
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 Platform and Methodology (PaM) team. In this position, you will help drive the digital transformation of our business by developing and modernizing our analytics platform. You will contribute across the full analytics delivery lifecycle, including methodology, design, and implementation, and work on high-impact solutions that support investment analytics across the organization.

The PaM team acts as a steward of the financial group’s analytics platform and is responsible for the delivery of post-trade and custom affiliate analytics. This is a fantastic opportunity to join a high-impact, high-skill team whose scope and impact continue to grow.

What You Will Do

  • Manage the end-to-end analytics production pipeline including ingestion, calculation, and distribution.
  • Identify, develop, source, and implement scalable analytics solutions across performance, attribution, risk, exposure, and investment models.
  • Support and enhance both proprietary analytics products and third-party tools such as Revolution, Bloomberg, and eVestment.
  • Develop and maintain dashboards and the semantic layer that supports natural language query (NLQ)
  • Investigate and resolve complex issues using your strong understanding of analytics methodologies.
  • Translate business logic and technical concepts for stakeholders, including portfolio managers and performance analysts.
  • Identify and implement workflow improvements that increase efficiency, reduce risk, and enhance service for stakeholders.

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. Experience implementing performance and analytics systems (Revolution, BNY Data and Analytics, Simcorp Investment Analytics, etc.) is an asset.
  • 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 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 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
  • Knowledge of investment analytics, investment management, or data science
  • Experience implementing performance and analytics systems
  • Experience with Revolution, BNY Data and Analytics, Simcorp Investment Analytics, or similar systems
  • Practical experience with modern analytics pipeline tools and systems
  • Experience with Python and SQL
  • Experience with automation and scheduling platforms such as VisualCron or Prefect
  • Experience with data platforms such as Databricks or Microsoft Fabric
  • Experience with data visualization tools such as Power BI or Tableau
  • Experience developing AI solutions
  • Strong problem-solving and analytical skills
  • Ability to communicate complex concepts clearly and align stakeholders
  • Ability to identify, assess, and mitigate process risks
  • Sound judgment and timely decision-making under ambiguity
  • Self-directed, proactive, collaborative, and comfortable proposing 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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