Connor, Clark & Lunn Financial Group (CC&L)Source d’offres vérifiée

Analyst, Analytics Platform and Methodology

Offre en anglais

Toronto, ON
Hybride
Publié 15 sept. 2026
1 poste

85 000 $–120 000 $ / année

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Type d’emploi: Temps plein
Niveau d’expérience: Intermédiaire · 2+ ans
Formation minimale: Baccalauréat
Langue de l’offre: anglais
Heures de travail: 40 heures par semaine

Résumé du poste

The analyst will manage the end-to-end analytics production pipeline, including data ingestion, calculation, and distribution. They will also develop and implement scalable analytics solutions for performance, risk, and investment models while maintaining dashboards and semantic layers.

Détails du poste

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 [https://cclfg.cclgroup.com/careers/working-at-ccl/]. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age. 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 talentacqusition@cclgroup.com [talentacqusition@cclgroup.com] if you require accommodation. Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.

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Exigences

Candidates must hold an undergraduate degree in finance, data science, or a quantitative field and possess deep knowledge in investment analytics. Experience with modern analytics pipelines, Python, SQL, and relevant financial systems is highly preferred.