Fraud Analyst at KCB Bank Kenya

The Position: 

The role holder will be responsible for reviewing transactions alerts and collate data from the real-time Fraud Management System and other reporting sources with a view to identifying fraudulent transactions, instituting prompt mitigation action and create awareness on fraud trends across the Bank network.

Key Responsibilities:

• Constantly monitor real time queues and identify high risk transactions, unauthorized transactions, and fraudulent accounts.
• Identify fraudulent transactions and institute prompt mitigating action.
• Review and provide resolution to queued transactions within defined SLA to reduce potential revenue losses.
• Review daily reports & compromise alerts to track and prevent fraud.
• Recommend appropriate hold (restriction) on accounts identified as having potentially fraudulent issues.
• Undertake research on fraud patterns by tracking confirmed fraudulent transactions to develop rules to facilitate fraud prevention and detection.
• Contact customers & banks by phone and emails to verify transactions and resolve fraud-related account issues, where fraud is confirmed, create a case in the Case Management system to initiate investigations and dispute management process.
• Facilitate appropriate understanding of fraud prevention and detection across the Bank network.
• Track status of resolved items/cases to provide a record of activity and support identification of trends and/or persistent issues.
• Recommend changes to fraud detection system parameters to optimize fraud detection while minimizing negative customer impact.
• Prepare periodic summaries of fraud trends as appreciated from the fraud management system and related industry sources to enhance fraud management across the bank.

The Person:

For the above position, the successful applicant should have the following:

• Bachelor’s degree in Computer Science/Finance/ Business/ Banking/ law/ Criminal Justice studies or any relevant field.
• A minimum of 4 years’ experience in banking operations with at least 3 years’ experience in Fraud Detection and Prevention.

To be considered your application must be received by Friday, 28th October 2022.