Investment Data Analyst

Shape trusted investment data at Connor, Clark & Lunn Financial Group through requirements analysis, data modeling, and governance. This hybrid role combines office and remote working days.

As a Data Analyst within the Investment Data Architecture team, you will support Modern Data Platform enablement for investment data. You will partner with investment and operations stakeholders, data engineers, business owners, and technical teams. Your work will span security master, pricing master, holdings, and market reference data across equity, fixed income, and derivatives.

Key Responsibilities:

• Translate stakeholder needs into requirements, definitions, rules, and acceptance criteria
• Prepare trusted, reusable investment datasets through intake and readiness
• Develop conceptual and logical investment data models
• Validate transformation rules, mappings, and delivered data
• Analyze data-quality exceptions and reconciliation breaks

Requirements:

• Degree in Finance, Commerce, Business Analysis, or related field
• Three to five years in investment management or financial services
• Hands-on knowledge of equity, fixed income, or derivative data
• Requirements elicitation and acceptance-criteria development experience
• Understanding of data quality, ownership, governance, and metadata

Apply investment data analysis, modeling, requirements, and governance expertise across Connor, Clark & Lunn Financial Group’s strategic platform.