Job description

Fraud Data Analyst

We are seeking a skilled Fraud Data Analyst to analyze transaction data, detect potential fraud, and enhance risk mitigation strategies across the organization.

Key Responsibilities:

• Analyze transaction data for fraud detection: Perform in-depth analyses of transaction data to identify patterns indicative of fraud.
• Develop and maintain fraud detection models: Build predictive models to detect fraudulent behavior in real-time using machine learning and data analytics tools.
• Collaborate on risk assessment and prevention strategies: Work closely with risk management teams to design fraud prevention strategies.
• Conduct root cause analysis on fraud incidents: Investigate fraudulent activities to understand their origins and impacts.
• 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.

Requirements:

• Fraud analysis and pattern recognition: Strong ability to detect patterns, anomalies, and indicators of fraud in data.
• Predictive modeling and machine learning: Experience building models for fraud detection using supervised and unsupervised learning techniques.
• Risk assessment and prevention: Understanding of risk management principles and strategies for fraud prevention.
• Data visualization and reporting: Proficiency in data visualization tools like Tableau, Power BI, or Looker for creating dashboards and presenting fraud data to stakeholders.

Benefits:

• Comprehensive medical, dental, and vision insurance plans.
• Creative vacation, sick leave, and 20 paid holidays per year.
• Flexible work schedules and telecommuting options.
• Opportunities for training, certification reimbursement, and career advancement programs.