Analytics Quality & Process Engineering Analyst

Connor, Clark & Lunn Financial Group Ltd.; Vancouver; Hybrid; CAD 85,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Job summary

Connor, Clark & Lunn Financial Group Ltd. seeks an Analyst to own analytics quality and drive process engineering initiatives across production analytics. You will improve data quality, governance, and automation within a complex asset management environment.

You will contribute to data management, analytics pipelines, and risk control practices while collaborating with stakeholders across teams in a hybrid work model in Canada.

Qualifications

• Undergraduate degree in finance, data science, or a quantitative field.
• CFA or FRM designation is an asset.
• Experience in data management or asset management is an asset.
• Practical experience with analytics pipelines and related tools.

Responsibilities

• Maintain and validate accuracy of calculated analytics across systems.
• Analyze data-quality exceptions and support timely resolution.
• Manage and enable scheduled processes that compute analytics.
• Identify opportunities to simplify processes and reduce manual effort.
• Enhance analytics governance through scalable, automated processes.
• Identify, mitigate, and elevate process risks and implement controls.
• Act as analytics expert and escalation point for process questions.

Skills

Data management

Process design

Asset management

Systems thinking

Python

SQL

AI tools

Communication

Problem solving

Education

Undergraduate degree in finance / data science / quantitative field

CFA or FRM designation (asset)

Tools

Python

SQL

AI programming assistants

Automation platforms

Scheduling platforms

Databricks / Microsoft Fabric

Job description

Connor, Clark & Lunn Financial Group Ltd. seeks an Analyst to own analytics quality and drive process engineering initiatives across production analytics. You will improve data quality, governance, and automation within a complex asset management environment.

You will contribute to data management, analytics pipelines, and risk control practices while collaborating with stakeholders across teams in a hybrid work model in Canada.