Description

Analyze and validate fund performance, administration, and exposure data to ensure accuracy and consistency. Define data quality rules, validation checks, and completeness standards to govern data integrity.

This role is on-site.

Responsibilities

• Analyze fund performance and exposure data, translating business needs into specific data quality requirements and acceptance standards.
• Write and maintain data rules, business logic, and quality thresholds to define acceptable data states.
• Investigate data anomalies using SQL, supporting reconciliations and root-cause analysis for accuracy issues.
• Build and maintain governance artifacts in Collibra, including data lineage notes, issue logs, and metadata for audit readiness.
• Document data element definitions, calculations, and transformations, maintaining comprehensive data dictionaries.

Required Skills

• 5-7 years of experience in data analysis and data quality within financial or investment environments.
• Strong SQL skills for data investigation, reconciliation, and structured analysis.
• Hands-on experience with Collibra for metadata management and governance artifact maintenance.
• Ability to define and implement data quality rules covering accuracy, completeness, consistency, and timeliness.
• Experience monitoring datasets and driving continuous improvement in data accuracy.
• Proficiency in documenting data element definitions and maintaining metadata.

Preferred Skills

• Investment banking domain knowledge, including fund performance metrics, capital activity, and investor allocations.
• Background in data engineering alongside data analysis.

Key Skills

Education

Any Graduate