Job Description / Responsibilities:

• Design and execute complex SQL queries on large datasets to identify transactional anomalies and fraudulent activities.
• Conduct rigorous analysis of operational and financial data to detect patterns and potential system vulnerabilities.
• Develop data-driven scripts and tools (using languages such as Python) to automate fraud detection and reporting workflows.
• Collaborate closely with software development and data engineering teams to enhance systems and implement preventive mechanisms.
• Design and maintain Business Intelligence (BI) dashboards to visualize data trends and insights for management.
• Contribute to the design of new data models to enable advanced analytical capabilities.

Requirements / Qualifications:

• Proficiency in SQL for database management and familiarity with programming languages such as Python.
• Strong ability to analyze large datasets and extract actionable insights.
• Ability to deeply understand and analyze software processes and architectures.
• Logical and algorithmic approach to complex problem-solving.
• High sense of responsibility and professional commitment.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Bachelor’s degree in Computer Science, Software Engineering, or related fields.