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About the Role

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.

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 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.
Identify, assess, and mitigate process risks, and escalate issues proactively when needed.
Use judgement to make sound decisions in a timely fashion under ambiguity.
Propose solutions.

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.
Deep knowledge in investment analytics, investment management, or data science.
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.
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.
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.
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.
Self-directed and proactive.

Skills

Python
SQL
AI programming assistants
GitHub Copilot
Automation and scheduling platforms
VisualCron
Prefect
Data platforms
Databricks
Microsoft Fabric
Data visualization tools
PowerBI
Tableau
Analytics
Performance analytics
Risk analytics
Exposure analytics
Investment models
Revolution
Bloomberg
eVestment
BNY Data and Analytics
Simcorp Investment Analytics
Natural language query (NLQ)

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

Analyst

Education Level

Undergraduate degree in finance, data science, or a quantitative field
CFA designation
FRM designation

Salary/Compensations

$85,000-$120,000
Annual performance bonus

About the Company

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.