Fraud Data Analyst Lead

Job Overview

The Fraud Data Analyst Lead at Barclays is responsible for implementing data quality processes and extracting actionable insights. The role is central to fraud prevention and detection, ensuring data reliability, and supporting operational improvements.

Key Responsibilities

• Investigate and analyze data issues related to quality, lineage, and controls.
• Execute data cleansing, transformation tasks, and build data pipelines.
• Apply advanced analytics including machine learning and AI to solve business challenges.
• Document findings and recommend improvements.
• Advise senior management and key stakeholders and manage risk.

Vice President and Leadership Expectations

Set strategy, drive requirements, plan resources and budgets, and guide team members. Whether leading a team or acting as an individual contributor, you will use your expertise to drive change, mentor specialists, and ensure continuous improvement in processes.

Collaboration and Impact

Work with fraud, data technology, and business teams to deliver data-driven solutions. Your analytical insights will have a direct impact on reducing risk, building trust, and driving meaningful change at Barclays.

Key Skills/Competency

• Data Quality
• Data Cleaning
• Data Pipelines
• Machine Learning
• Risk Management
• Governance
• SAS
• SQL
• ETL
• Fraud Prevention