Data Quality Analyst – Counter Fraud Specialist

About the role

We are seeking a highly analytical and detail‑oriented professional to join our Fraud Risk team as a Counter Fraud – Data Quality Specialist. The role ensures the accuracy, completeness and reliability of fraud‑related data, supporting detection, prevention and regulatory reporting in line with SAMA requirements.

Key responsibilities

• Manage and monitor fraud data quality through validation, deduplication and completeness checks.
• Design and maintain fraud data frameworks and data flows.
• Conduct advanced analytics to identify trends, anomalies and root causes.
• Support fraud detection systems by tuning rules, testing scenarios and enriching data.
• Coordinate with Data Management teams to maintain fraud data lakes and ensure continuous data flow.
• Prepare internal and external regulatory fraud reports.
• Assist cross‑functional initiatives related to fraud risk and data governance.

Required profile

• Bachelor’s degree in Computer Science, MIS, CIS or a related field.
• Strong analytical, communication and problem‑solving abilities.
• Fluent English language skills.

Required skills

• SQL for data querying and manipulation.
• Python (preferred) for data analysis.
• SAS and experience with Data Lake environments.