Senior Fraud MIS and Analytics Analyst for Commercial Cards

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Job Overview

Role Overview

The Senior Fraud Analytics Analyst is responsible for overseeing day-to-day fraud analytics activities, ensuring data-driven insights are accurately generated and applied. The role serves as a key point of control within the team, providing guidance, validation, and support across analytical workflows while maintaining strong governance standards.

Key Responsibilities

🔹 Analytical Oversight

• Review and validate analytical outputs to ensure quality, consistency, and accuracy
• Support identification of fraud trends, patterns, and anomalies through data analysis
• Provide guidance on analytical approaches and methodologies

🔹 Execution Support & Flexibility

• Actively contribute to analytical activities where required, ensuring continuity and operational resilience
• Support team members in handling complex or high-risk scenarios
• Provide subject matter expertise across fraud analytics processes

🔹 Governance & Control

• Ensure adherence to established processes, policies, and control frameworks
• Monitor outputs for potential risks or inconsistencies and initiate corrective actions
• Support audit and compliance activities through accurate documentation and validation

🔹 Operational Coordination

• Support shift-based coverage ensuring continuity of operations across defined business hours
• Coordinate with team members to manage workload effectively
• Escalate key issues or risks as appropriate

🔹 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.
• 2-4 years of experience in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services.
• Willing to work in shifting schedule, 24/7 with possible weekends and holdays

Skills

• Strong experience in fraud analytics or fraud risk management
• 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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