Fraud Analytics Lead for Commercial Cards

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Job Overview

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.

Key Responsibilities

🔹 Leadership & Team Management

• 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

🔹 Fraud Analytics Oversight

• 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

🔹 Governance & Controls

• 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

🔹 Stakeholder Engagement

• 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

🔹 Work-hour requirement

• This role operates within a global support model and requires flexibility to work in rotational shifts to meet business and operational coverage requirements.

Qualifications

• 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.

Skills

• 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.

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Job Family Group:

Operations - Services

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Job Family:

Fraud Operations

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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