Analyst, Analytics Quality and Process Engineering at Connor, Clark & Lunn Financial Group Ltd. | CA | Rezi

Analyst, Analytics Quality and Process Engineering at Connor, Clark & Lunn Financial Group Ltd.

Analyst, Analytics Quality and Process Engineering

Connor, Clark & Lunn Financial Group Ltd. · CA

1 months ago

Analyst, Analytics Quality and Process Engineering

Connor, Clark & Lunn Financial Group Ltd. · CA

a month ago
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About the Role

This role focuses on ensuring the quality of production analytics and driving continuous improvement of processes within the Process Engineering team. It's an opportunity to join a growing team with significant scope and impact.

Responsibilities

  • Maintain and validate the accuracy of calculated analytics including performance, attribution, and risk values across multiple systems.
  • Analyze data-quality exceptions and support timely resolution and signoff.
  • Manage and enable scheduled processes that calculate, save, and validate analytics.
  • Proactively identify opportunities to simplify processes, reduce manual effort, and address common points of failure.
  • Enhance our analytics governance framework by ensuring processes follow design best practices, are scalable, and automated.
  • Identify, mitigate, and escalate process risks.
  • Implement appropriate controls.
  • Act as an analytics expert and an escalation point for process questions.

Requirements

  • 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.
  • Experience in data management, business process design, asset management, or a similarly complex environment is an asset.
  • Deep knowledge of data management or investment analytics.
  • Systems thinker.
  • Takes ownership of your work.
  • Proven track record of delivering quality data in a timely fashion.
  • Practical experience with the tools and systems used in modern analytics pipelines.
  • Experience developing AI solutions and programming (Python, SQL) is an asset.
  • 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.
  • Identify, assess, and mitigate process risks, and escalate issues proactively when needed.
  • Can use judgement to make sound decisions in a timely fashion under ambiguity.
  • Can work independently and proactively propose 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)

Location

  • Hybrid

Work Type

  • 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

  • Meaningful work
  • Continuous learning budgets
  • Paid study days
  • Support for professional designations
  • Competitive total compensation
  • Retirement savings support
  • Wellness credits
  • Enhanced parental leave
  • Comprehensive health benefits
  • Social events
  • Volunteering opportunities
  • Commitment to corporate social responsibility
  • Flexible work practices
  • Work-life balance support

About the Company

  • Connor, Clark & Lunn Financial Group is one of Canada’s top-performing asset managers.
  • We are "invested in our greatest asset, you".
  • Our shared goals reflect what matters most to our people: Your community, your growth, and recognizing you.
  • Explore cclgroup.com for more information.

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.