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.

📌 Investment Data Process Analyst (Winnipeg)
🏢 Connor, Clark u0026 Lunn group
📍 Winnipeg