Senior Business Analyst / Data Analyst (Security Master)

Role overview

Responsibilities

• Define and document business requirements, data mapping rules, and functional specifications.
• Create JIRA user stories with acceptance criteria and participate in sprint planning and grooming.
• Analyze, normalize, and reconcile vendor data covering equities, fixed income, mutual funds, ETFs, and alternatives.
• Establish golden-copy rules, survivorship logic, and data quality metrics to detect and resolve anomalies.
• Coordinate with engineering teams, vendors, and downstream product owners on data model alignment.
• Lead UAT for enhancements and verify that data structure changes meet downstream needs.

Required qualifications

• Bachelor's degree in Finance or an IT-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 ISIN, CUSIP, SEDOL, and ticker symbology.
• Proficiency in SQL and Python for analysis, profiling, and complex database queries; advanced Microsoft Office proficiency.
• Familiarity with security data impacts on proposal generation, order execution/trading, and portfolio management workflows.
• Strong analytical skills and a proven ability to resolve complex discrepancies across vendors.

Preferred skills

• Working knowledge of Python, PySpark, Microsoft Azure, and Azure Synapse for cloud data analysis is a nice-to-have.
• Vendor data examples include Bloomberg, FactSet, Morningstar, and IDC.

Benefits and development

• The posting describes a total rewards program with flexible benefits, competitive compensation, bonuses, commissions, and stock where applicable.
• The employer cites coaching, development opportunities, collaborative work, challenging assignments, and opportunities for increasing responsibility.

Work details

• The posting lists full-time employment and 37.5 work hours per week.