Senior Business Analyst / Data Analyst (Security Master)
Role Overview
Own business logic, data quality, and product backlog for an enterprise Security Master that ingests reference data from financial vendors.
The Security Master serves as a firm-wide source of truth supporting proposal, trade order management, portfolio management, and client reporting systems.
The role does not build technical data pipelines to downstream consumers.
Key Skills for This Role
Full Job Posting
Role overview
Own business logic, data quality, and product backlog for an enterprise Security Master that ingests reference data from financial vendors.
The Security Master serves as a firm-wide source of truth supporting proposal, trade order management, portfolio management, and client reporting systems.
The role does not build technical data pipelines to downstream consumers.
Responsibilities
- Define business requirements, data mappings, and functional specifications for the Security Master platform.
- Write JIRA user stories and acceptance criteria; participate in sprint planning and grooming.
- Analyze, normalize, and reconcile vendor data covering equities, fixed income, mutual funds, ETFs, and alternatives.
- Set golden-copy rules, survivorship logic, and data quality metrics to find and resolve anomalies.
- Coordinate data models with engineering, vendors, and downstream product owners.
- Lead UAT for enhancements and validate data structure changes against downstream consumer requirements.
Required qualifications
- Bachelor's degree in Finance, IT, or a related field.
- 5+ years as a Business Analyst, Data Analyst, or Product Owner in Wealth Management, Asset Management, or Capital Markets.
- Deep knowledge of Security Reference Data structures, corporate actions, and symbology including ISIN, CUSIP, SEDOL, and ticker.
- Proficiency in SQL and Python for data analysis, profiling, and complex database queries; advanced Microsoft Office proficiency.
- Familiarity with security data impacts on proposal generation, order execution/trading, and portfolio management.
- Strong analytical ability and proven resolution of complex data discrepancies across multiple vendors.
Preferred skills
- Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis is a plus.
Team context
The position is in RBC's Technology & Innovation group, which develops and maintains solutions for clients and colleagues.
Compensation and benefits
- The posting describes salaried compensation and a total rewards program with bonuses and flexible benefits; no salary amount or pay cadence is specified.
- Other offerings include development support, collaborative work, and opportunities to take on greater accountabilities.
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