Are you passionate about identifying fraudulent activity and protecting businesses from financial losses?

Do you excel at analyzing patterns, developing insights, and creating proactive solutions to prevent fraud?

If you’re ready to leverage your analytical skills to safeguard our systems, our client has the ideal role for you.

We’re looking for a Fraud Data Analyst (aka The Fraud Detector) to analyze transaction data, detect potential fraud, and enhance risk mitigation strategies across the organization.As a Fraud Data Analyst at our client, you’ll work with fraud prevention teams, data scientists, and risk management to develop models, identify patterns, and implement fraud detection strategies.

Your role will be critical in ensuring that potential fraud is detected early and that our client’s financial assets and reputation remain protected.Key Responsibilities: Analyze Transaction Data for Fraud Detection: Perform in-depth analyses of transaction data to identify patterns indicative of fraud.

You’ll use statistical methods to spot anomalies and flag suspicious activities for further investigation.

Develop and Maintain Fraud Detection Models: Build predictive models to detect fraudulent behavior in real-time using machine learning and data analytics tools.

You’ll implement algorithms that help automate fraud detection.

Collaborate on Risk Assessment and Prevention Strategies: Work closely with risk management teams to design fraud prevention strategies.

You’ll provide insights on vulnerabilities and recommend solutions to strengthen fraud defenses.

Conduct Root Cause Analysis on Fraud Incidents: Investigate fraudulent activities to understand their origins and impacts.

You’ll perform root cause analysis to identify gaps in current controls and suggest improvements.

Create and Maintain Fraud Detection Dashboards: Design and maintain dashboards using tools like Tableau or Power BI to provide real-time monitoring of fraud metrics.

You’ll ensure that stakeholders have access to actionable insights.

Implement Data-Driven Rules and Alerts: Establish data-driven rules and thresholds for flagging suspicious activities.

You’ll create automated alerts that enable faster responses to potential fraud cases.

Stay Updated on Fraud Trends and Techniques: Keep abreast of the latest trends in fraud schemes, methodologies, and detection technologies.

You’ll bring innovative strategies to improve fraud prevention and detection.