Lead investment data analysis remotely for BMO Global Asset Management, using advanced SQL, Python, and stakeholder engagement across delivery.

As an experienced Lead Data Business Analyst, you will support BMO GAM’s Investment Solutions and Delivery team. You will gather requirements, document investment data, analyze complex datasets, coordinate testing, and support implementation. The work connects portfolio management, operations, risk, compliance, sales, technology, and vendors. Your analysis enables accurate, timely, fact-based investment and business decisions.

Key Responsibilities:
Lead requirements sessions with investment and technology stakeholders
Document business processes, mappings, lineage, rules, and dependencies
Analyze and reconcile investment data using SQL and Python
Plan UAT,



validate outputs, and manage defects
Support deployment, reporting, dashboards, and post-implementation validation

Requirements:
Seven to ten years of relevant business or data analysis experience
Investment data and asset management operations knowledge
Advanced SQL and working Python skills
Experience with UAT, data validation, and production delivery
Power BI, Snowflake, and cloud data platform experience

Apply investment data expertise, SQL, Python, and delivery leadership to BMO GAM’s remote analytical solutions work.
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📌 Lead Investment Data Business Analyst Toronto
🏢 Bank of Montreal
📍 Toronto