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Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, CAN
Full-time
Onsite
Discovered 1 weeks ago
Data modelingData architectureData strategyCloud data lakes and lakehousesCapital markets tradingTrade lifecycle
Free
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Data modelingData architectureData strategy
Role Overview
The Trading and Execution Services Data Services team manages cross-asset trading data across the front-office trading lifecycle.
The team ingests and manages trading data in a cloud data lake and delivers standardized data products for front-office decision-making.
RBC is seeking an Associate Director and Lead Data Modeler/Analyst to own enterprise data modeling strategy and lead a data analyst team.
The role connects front-office stakeholders with backend engineering teams in a complex, multi-asset trading environment.
Key Skills for This Role
Data modelingData architectureData strategyCloud data lakes and lakehousesCapital markets tradingTrade lifecycle
Full Job Posting
Opportunity overview
The Trading and Execution Services Data Services team manages cross-asset trading data across the front-office trading lifecycle.
The team ingests and manages trading data in a cloud data lake and delivers standardized data products for front-office decision-making.
RBC is seeking an Associate Director and Lead Data Modeler/Analyst to own enterprise data modeling strategy and lead a data analyst team.
The role connects front-office stakeholders with backend engineering teams in a complex, multi-asset trading environment.
What You Will Do
- Analyze cross-asset data from internal RBC systems and external ISV sources to understand lineage, relationships, and gaps.
- Design scalable data models for a unified presentation layer organized by asset class and product.
- Conduct data gap analysis and identify quality issues early in project lifecycles.
- Define data contracts, track remediation, and improve data quality with upstream source teams.
- Diagnose and resolve data system issues across the trading data ecosystem.
- Use generative AI for data exploration, profiling, pattern detection, and model prototyping.
- Coach direct reports on AI-first analysis and modeling workflows.
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