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The Fraud MIS and Analytics Analyst is responsible for executing core fraud analytics activities, including data analysis, trend identification, and support of fraud risk management processes. The role focuses on delivering accurate analytical outputs to support fraud detection, prevention, and ongoing monitoring activities.
Job Responsibility:
Analyze transactional and behavioral data to identify potential fraud patterns and anomalies
Support the generation of insights used in fraud detection and prevention
Assist in identifying emerging trends and risks
Perform assigned analytical tasks in accordance with defined procedures and standards
Ensure accuracy and completeness of outputs across all activities
Maintain consistency in execution of analytical workflows
Support preparation and analysis of datasets used in fraud analytics
Assist in maintaining data integrity and accuracy
Contribute to reporting and documentation requirements
Follow established operational processes and maintain required documentation
Support ongoing process improvements through feedback and observations
Adhere to control requirements and ensure compliance with internal standards
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
Fresh Graduates up to 2 years of experience 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
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, PowerBI, or similar is preferred
Experience with fraud detection platforms or rule engines