Senior Business Analyst / Data Analyst (Security Master)
Role Overview
Owns business logic, data quality, and the product backlog for an enterprise Security Master that consolidates reference data from financial vendors.
The Security Master supports proposal, trade order management, portfolio management, and client reporting systems; the role does not build downstream technical data pipelines.
Key Skills for This Role
Full Job Posting
Role overview
Owns business logic, data quality, and the product backlog for an enterprise Security Master that consolidates reference data from financial vendors.
The Security Master supports proposal, trade order management, portfolio management, and client reporting systems; the role does not build downstream technical data pipelines.
Responsibilities
- Define and document business requirements, data-mapping rules, and functional specifications.
- Turn complex data and business needs into JIRA user stories with precise acceptance criteria; participate in sprint planning and backlog grooming.
- Analyze, normalize, and reconcile vendor data covering equities, fixed income, mutual funds, ETFs, and alternative investments.
- Establish golden-copy rules, survivorship logic, and data-quality metrics to find and resolve anomalies.
- Coordinate engineering teams, vendors, and downstream product owners to align data models with business needs.
- Lead UAT for platform enhancements and validate data-structure changes against downstream requirements.
Required qualifications
- Bachelor’s degree in Finance or an IT-related field.
- At least five years as a Business Analyst, Data Analyst, or Product Owner in Wealth Management, Asset Management, or Capital Markets.
- Deep understanding of Security Reference Data structures, corporate actions, and identifiers including ISIN, CUSIP, SEDOL, and ticker.
- Proficient in SQL and Python for analysis, profiling, and querying complex databases; advanced Microsoft Office skills for documentation and reporting.
- Strong familiarity with security-data impacts on proposal generation, order execution/trading, and portfolio management.
- Strong analytical skills and a track record of resolving complex discrepancies across vendors.
Nice to have
- Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis is nice to have.
Team and rewards
The role is part of RBC’s Technology & Innovation group and works with colleagues and clients on technology solutions.
RBC describes a total rewards program, flexible benefits, and opportunities for professional development and increased responsibility.
Employment details
Employment type is full time; the posting lists 37.5 work hours per week and salaried pay.
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