Reference Data Analyst

• 3–4+ years of relevant experience in reference data, securities operations, fund administration, or a similar financial environment.
• Strong understanding of data quality and operational controls.
• Confident working with SQL and discussing query results.
• Experience with Python and automation is highly desirable.
• Interest in AI and emerging technologies.
• Knowledge of equities, bonds, and options is beneficial.
• Strong communication, analytical, and problem-solving skills.
• High level of ownership, accountability, and attention to detail.
• Ability to identify issues, challenge data quality, and work effectively with business and technology stakeholders.

• Maintain and validate security and reference data across financial instruments.
• Investigate and resolve data quality issues and exceptions.
• Analyze financial datasets and confidently work with SQL queries.
• Support automation initiatives using Python and AI tools.
• Collaborate with data providers, Operations, Risk, Finance, and Technology teams.
• Identify potential data issues and act as a quality gatekeeper.
• Contribute to improving data controls, workflows, and operational processes.

Work mode is hybrid. This is an operations- and business-focused role, not a software development position.