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About the Role

This role is for an Analyst, Quality Analytics on the Process Engineering (PE) team. The individual contributor will own the quality of production analytics and drive continuous improvement of processes within a growing team at a top-performing asset manager.

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 the 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 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.
Applies and integrates emerging technologies where they add value.
Brings 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

HYBRID

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

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.