Data Analyst (Fraud)

As a fraud analyst, the jobholder will be to conduct monitoring, investigation and detecting potential fraudulent activity in the bank's digital transactions. Your responsibilities will include reviewing customer transactions for any signs of suspicious behavior, identifying potential fraud trends, and investigating any incidents of fraud and this includes contacting the customers to conduct inquiries as necessary. You will also work closely with other teams, such as IT, Customer Service and Risk Management, to develop and implement fraud prevention strategies and policies. Additionally, you will need to keep up-to-date with the latest fraud detection technologies and tools and participate in regular training sessions and team meetings. Your efforts will be crucial in ensuring the safety and security of the bank's digital transactions and maintaining customer trust and confidence.

Major Responsibilities:

• Monitoring and investigating fraud alerts and customer reports to detect any signs of suspicious activity or behavior that may indicate potential fraud.
• Analyzing transaction data and patterns to identify potential fraud trends and patterns.
• Investigating incidents of suspected fraud, including gathering evidence and working with other teams to resolve cases.
• Collaborating with other departments, such as IT, Customer Services and Risk Management, to develop and implement fraud prevention strategies and policies.
• Staying up-to-date on the latest fraud detection technologies and tools and participating in regular training sessions and team meetings.
• Maintaining accurate records of fraud incidents and investigations and providing regular reports to management.
• Ensuring compliance with regulatory requirements related to fraud prevention and reporting.

Requirements:

• A minimum of 2 years’ hands-on experience in a fraud investigation role in banking and Data Analytics.
• Experience in digital banking and/or financial technology companies will be a significant plus.
• Basic python programming is a plus.
• Advance knowledge in SQL and basic statistical knowledge is a must
• Strong analytical skills and put attention on details
• Conversational ability in English is a must
• Strong and highly motivated with positive mindset attitude
• Collaborative and comfortable working in a dynamic and fast-paced environment

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