Senior Market Data Analyst

Role Overview

The role will focus on reference data management, security/instrument setup and maintenance, and data quality assurance for public and private market instruments. The role reports to the Reference Data Lead and partners closely with Investment Operations, Data Engineering, Compliance, Risk, and external vendor teams.

What You Will Do

Create, validate, and maintain comprehensive instrument records across asset classes, assign and manage identifiers, configure instrument lifecycle states, and perform instrument onboarding. Troubleshoot complex data issues, communicate with business users and cross-functional teams, and document processes and findings.

Why It Might Be a Fit

The ideal candidate will have 5+ years of experience in reference data management, market data operations, securities master data, or investment operations within financial services. Strong analytical skills, attention to detail, and the ability to troubleshoot complex data issues under tight timelines are required.

Requirements

• 5+ years of professional experience in reference data management, market data operations, securities master data, or investment operations within financial services
• Strong working knowledge of market data providers and platforms such as Bloomberg, Refinitiv/Reuters, FactSet, and common vendor data models
• Hands-on experience with instrument setup and maintenance across multiple asset classes; familiarity with identifiers (ISIN, CUSIP, SEDOL, FIGI, LEI) and corporate action processing
• Practical experience with Master Data Management (MDM) systems and enterprise reference data stores
• Advanced Excel skills (including lookups, pivot tables, data cleaning) and proven experience with SQL for data extraction, reconciliation, and analysis
• Experience with scripting or automation tools (Python, VBA, or similar) and/or ETL tools for data processing
• Familiarity with data governance, metadata management, data lineage, and regulatory or licensing considerations for market data
• Strong analytical skills, attention to detail, and the ability to troubleshoot complex data issues under tight timelines
• Excellent verbal and written communication skills; ability to present findings and document processes clearly
• Ability to work independently in a fast-paced environment and collaborate effectively with cross-functional teams

Tagged as: Data Analysis