Senior Business Analyst / Data Analyst (Security Master)
Role Overview
Own business logic, data quality, and product backlog for the enterprise Security Master, which ingests reference data from financial vendors and serves as a firm-wide source of truth.
Security data supports 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 the enterprise Security Master, which ingests reference data from financial vendors and serves as a firm-wide source of truth.
Security data supports proposal, trade order management, portfolio management, and client reporting systems.
The role does not build technical data pipelines to downstream consumers.
Responsibilities
- Define and document business requirements, data mapping rules, and functional specifications.
- Create actionable JIRA user stories with acceptance criteria and participate in sprint planning and grooming.
- Analyze, normalize, and reconcile vendor reference data across multiple financial product types.
- Establish golden-copy rules, survivorship logic, and data quality metrics to identify anomalies.
- Coordinate with engineering teams, data vendors, and downstream product owners.
- Lead UAT for enhancements and validate changes against downstream consumer requirements.
Required qualifications
- Bachelor's degree in Finance or a related IT 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 ISIN, CUSIP, SEDOL, and ticker symbology.
- Proficiency in SQL and Python for data analysis, profiling, and complex database queries; advanced Microsoft Office proficiency.
- Familiarity with proposal generation, order execution/trading, and portfolio management workflows.
- Strong analytical skills and a proven record resolving complex multi-vendor data discrepancies.
Preferred skills
- Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis is a plus.
Benefits and culture
- The posting describes a total rewards program, flexible benefits, development support, and challenging work in a collaborative team.
Employment details
- Employment type is full time.
- The posting lists a Toronto work address but does not explicitly state a workplace arrangement.
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