Shape investment data processes as an Analyst with Connor, Clark & Lunn Financial Group, using process engineering and data analysis in a hybrid mode. 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.

#J-18808-Ljbffr

📌 Investment Data Process Analyst (British Columbia)
🏢 Connor, Clark & Lunn group
📍 British Columbia