Elevate your data modeling skills with RBC's Trading & Execution Services team in Toronto. This senior role focuses on designing enterprise-grade data models within a cloud data lake workplace.

As a Lead Data Modeler/Analyst, you will manage a team and oversee the end-to-end data modeling strategy for cross-asset trading data. This position requires robust technical skills, a background in capital markets, and extensive experience engaging with executive stakeholders.

Your work will help transform data access for capital markets professionals by leveraging AI and cloud-native architectures.

Key Responsibilities:
Analyze cross-asset data to identify lineage and gaps
Design standardized, scalable data models for asset classes




Conduct data gap analysis during project lifecycles
Establish data contracts with upstream source teams
Coach team members in AI-driven workflows

Requirements:
Bachelor's degree in relevant field
10+ years in data architecture and strategy
6+ years in capital markets with asset class exposure
Proven people management experience
Advanced SQL and Python skills for data analysis

Lead enterprise-grade data modeling initiatives to empower RBC's capital markets specialists in Toronto.
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📌 Lead Data Modeler At Rbc Toronto (Canada)
🏢 RBC
📍 Canada