Fraud MIS and Analytics Analyst for Commercial Cards

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.

Key Responsibilities

🔹 Data Analysis & Insights

• 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

🔹 Execution of Analytics Processes

• 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

🔹 Data Management & Support

• Support preparation and analysis of datasets used in fraud analytics

• Assist in maintaining data integrity and accuracy

• Contribute to reporting and documentation requirements

🔹 Operational Discipline

• 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

🔹 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.

• 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.

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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