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Connor, Clark & Lunn Financial Group Ltd.

Analyst, Analytics Platform and Methodology

Toronto, ON, Canada

Pay: The salary range for this position is $85,000-$120,000.
Posting language: English
Posted: Sep 28, 2026

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Original job description

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.

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 talentacquisition@cclgroup.com 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.

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More about this job

Responsibilities

The analyst will manage the end-to-end analytics production pipeline, including data ingestion, calculation, and distribution. They will also develop and maintain scalable analytics solutions and dashboards to support investment decision-making across the organization.

Requirements

Candidates must hold an undergraduate degree in finance, data science, or a quantitative field. Strong proficiency in Python, SQL, and investment analytics systems is required, with professional designations like CFA or FRM considered an asset.

Skills

Investment analytics
Data science
Python
SQL
Financial modeling
Performance attribution
Risk management
Data visualization
PowerBI
Tableau
Databricks
Microsoft Fabric
Bloomberg
Revolution
eVestment
Natural language query

Benefits

Retirement savings support
Wellness credits
Enhanced parental leave
Comprehensive health benefits
Continuous learning budgets
Paid study days
Flexible work practices

Visa sponsorship

Not detected in the job text

Keywords

Analytics platform
Investment management
Digital transformation
Post-trade analytics
Performance attribution
Risk modeling
Python
SQL
GitHub Copilot
VisualCron
Prefect
Databricks
Microsoft Fabric
PowerBI
Tableau
Bloomberg
Revolution
eVestment
Semantic layer
Natural language query
CFA
FRM
Data science
Investment analytics
Automation
Workflow improvement
Portfolio management
Financial group
Asset management
AI solutions

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