Analyze fraud patterns of card transaction data to proactively detect potentially fraudulent activities, investigate suspicious behavior, and escalate confirmed fraud cases as needed.
Provide feedback on fraud detection rules, alerts, and system enhancements through data analysis and and identifying potential cases through the use of in-house tools to update and query the database.
Manage the full cycle of chargeback processes related to card fraud and service-related claims including comprehensive documentation preparation and ensuring accurate and timely submission to card networks.
Evaluate fraud-related disputes and submit representments or accept liability based on scheme rules and evidence.
Track dispute performance metrics (e.g., chargeback ratio, win rates, time-to-resolution), develop well-defined tools to enhance the fraud and chargeback performance.
Support cross-functional initiatives, e.g. PM team, Regional Risk team, and Compliance, aimed at improving the efficiency and effectiveness of fraud and chargeback operations.
Requirements: Bachelor s or Master s degree in Engineering, BBA, or any related field. Fresh graduates are welcome to apply.
Ability to analyze big data for patterns or business trends, and take findings and communicate them effectively.
Proficient in working with numbers and data organization, especially with MS Excel or Gsheet.
Detail-oriented and organized. Works well in a small team environment.
Excellent interpersonal, communication skills and good command of English.
Proficient in using SQL to analyze data, drive insights, and create dashboards and visualizations is a plus.
Job skills required: English, Big Data, Compliance, Data Analysis
Job skills preferred: SQL