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The Fraud Analytics Lead is responsible for managing the Fraud Analytics function, overseeing end-to-end fraud risk analytics, and driving strategic initiatives to enhance fraud detection and prevention capabilities. The role combines people leadership, operational oversight, and strategic engagement, ensuring effective governance, consistency, and alignment with broader fraud risk management objectives.
Job Responsibility
Manage the Fraud Analytics function, overseeing end-to-end fraud risk analytics, and driving strategic initiatives to enhance fraud detection and prevention capabilities
Lead and manage a team of fraud analytics professionals, including oversight of workload distribution, performance management, and professional development
Foster a strong control environment and drive a culture of accountability, continuous improvement, and collaboration
Support talent development through structured training and coaching initiatives
Oversee the execution of fraud analytics activities, ensuring consistency, accuracy, and alignment with established standards
Review analytical outputs and provide direction on key fraud trends, patterns, and emerging risks
Ensure effective handling of fraud-related insights to support timely decision making
Ensure adherence to internal policies, control frameworks, and audit requirements
Maintain strong oversight of processes to ensure accuracy, completeness, and traceability
Identify process gaps and drive enhancements to strengthen risk management practices
Collaborate with global and regional stakeholders to support alignment on fraud risk strategy
Participate in governance forums, providing insights and updates on fraud trends and performance
Act as a key point of escalation for complex issues and decision-making scenarios
This role operates within a global support model and requires flexibility to work in rotational shifts to meet business and operational coverage requirements
Requirements
Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related field
3-6 years of experience in managing team in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services
Strong experience in fraud analytics or fraud risk management
Effective communication and stakeholder management abilities
Ability to review, validate, and interpret complex analytical outputs
Strong hands-on skills in SQL, Excel, and at least one analytics or scripting tool (e.g., Python, R, SAS)
Familiarity with BI tools such as Tableau, Power BI, or similar is preferred
Experience with fraud detection platforms or rule engines
Nice to have
Familiarity with BI tools such as Tableau, Power BI, or similar is preferred
Experience with fraud detection platforms or rule engines