Data Quality Analyst

Counter Fraud – Data Quality Specialist

We are looking for a highly analytical and detail oriented professional to join our Fraud Risk team as a Counter Fraud – Data Quality Specialist.

The role focuses on ensuring the accuracy, completeness, and reliability of fraud related data to strengthen fraud detection, prevention, and regulatory reporting capabilities in alignment with SAMA requirements.

Key Responsibilities:

• Manage and monitor fraud data quality including validation, deduplication, and completeness checks

• Design and maintain fraud data frameworks and data flows

• Conduct advanced fraud analytics to identify trends, anomalies, and root causes

• Support fraud detection systems through rule tuning, scenario testing, and data enrichment

• Coordinate with Data Management teams to maintain fraud data lakes and ensure continuous data flow

• Prepare internal and external regulatory fraud reports

• Support cross functional initiatives related to fraud risk and data governance

Requirements:

• Bachelor’s degree in Computer Science, MIS, CIS, or related field

• Strong SQL and data analysis skills (Python is a plus)

• Knowledge of fraud detection systems and Data Lake environments such as SAS

• Understanding of fraud typologies and digital banking risks

• Strong analytical, communication, and problem solving skills

• Fluent in English