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Connor, Clark & Lunn Financial Group

Analyst – Analytics Platform and Methodology

Data EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada$85k - $120kHybrid

About the Job

Requirements

  • An undergraduate degree in finance, data science, or a quantitative field.
  • Deep knowledge in investment analytics, investment management, or data science.
  • Practical experience with tools and systems used in modern analytics pipelines.
  • Strong problem-solving ability, including identifying patterns, generating insights, and approaching ambiguous problems with structure and creativity.
  • Ability to communicate complex concepts clearly and build alignment across stakeholders at all levels.
  • Ability to identify, assess, and mitigate process risks, and escalate issues proactively when needed.
  • Ability to use judgment to make sound decisions in a timely fashion under ambiguity.
  • Self-directed and proactive, and comfortable proposing solutions.

Responsibilities

  • 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 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.
  • Investigate and resolve complex issues using a 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.

Desired Qualifications

  • Completion of a relevant designation, such as the CFA or FRM.
  • Experience implementing performance and analytics systems such as Revolution, BNY Data and Analytics, or Simcorp Investment Analytics.
  • Experience with Python, SQL, AI programming assistants such as GitHub Copilot, automation and scheduling platforms such as VisualCron and Prefect, data platforms such as Databricks and Microsoft Fabric, and data visualization tools such as Power BI and Tableau.
  • Experience developing AI solutions.

About the Company

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