Investment Data Process Analyst

Shape investment data processes as an Analyst with Connor, Clark & Lunn Financial Group, using process engineering and data analysis in a hybrid model. Improve how trusted data reaches investment teams across security master, pricing master, and ETL processes.

Within the Investment Data Architecture team, this Analyst documents current-state workflows and designs future-state processes. You will translate investment teams’ timeliness and quality needs into requirements, identify root causes, and support practical improvements. The work spans process governance, automation, risk controls, and investment data projects.

Key Responsibilities:

• Document investment data processes, systems, hand-offs, controls, and downstream uses
• Design future-state workflows and recommend practical process improvements
• Partner with technology teams on automation, testing, and implementation
• Define metrics for timeliness, exceptions, manual touchpoints, and delivery
• Support platform transitions and affiliate or client onboarding

Requirements:

• Degree in business, finance, information systems, or related analytical field
• Three or more years in process improvement, business analysis, or investment data
• Strong analytical, problem-solving, communication, and collaboration skills
• Ability to identify, assess, and escalate process risks
• Process modeling, workflow automation, SQL, or Python experience is an asset

Apply process engineering, investment data knowledge, and analytical thinking to improve trusted data delivery for investment teams.