Data Analyst, Investment Data Architecture

Role overview

What you will do

• Translate investment and operations stakeholders' data needs into business requirements, definitions, rules, and acceptance criteria.
• Help business data owners define and prepare trusted, reusable investment data products and support stewardship and lifecycle reviews.
• Develop investment data models and explain them to technical and non-technical stakeholders.
• Define and validate transformation rules and source-to-target mappings; confirm delivered data meets business expectations.
• Define data quality rules and critical data elements; investigate quality exceptions and reconciliation breaks.
• Advise on security master, pricing, holdings, and reference data across equities, fixed income, and derivatives.
• Document models, mappings, flows, processes, glossary terms, definitions, and lineage.
• Support strategic data projects through requirements, testing, and release validation; identify improvements to usability, consistency, and efficiency.

What you bring

• Degree in Finance, Commerce, Business Analysis, or a related field.
• 3–5 years in investment management or financial services, ideally in investment data management, investment operations, or business analysis.
• Hands-on knowledge of equity, fixed-income, or derivative data is required.
• Ability to elicit requirements, facilitate working sessions, and document requirements and acceptance criteria.
• Understanding of data quality, ownership, governance, and metadata concepts.
• Strong written and verbal communication skills; curious, detail-oriented, self-starting, and focused on measurable outcomes.
• CFA or FRM progress is an asset. Security master, pricing, or EDM platform experience is a plus.
• SQL is an asset; Python, PySpark, Lakehouse architecture, Microsoft Fabric, similar platforms, and conceptual or logical data modeling are listed as assets or pluses.

Base salary

• Expected base salary range is $85,000–$120,000; actual starting salary may vary with experience, skills, qualifications, and internal equity.

Benefits and development

• The employer describes flexible work practices, professional development budgets, paid study days, designation support, retirement savings support, wellness credits, parental leave, and health benefits.