Division: Finance Division

Working schedule: 5 days a week, from 09:00 to 18:00. Based on the nature of the work you will be able to work from the office and from home.

Your responsibilities as a Senior Fraud Data Analyst:

• Analyze large datasets to identify patterns and trends indicative of fraudulent activity;
• Develop and implement statistical models and machine learning algorithms to detect and predict fraud;
• Investigate suspicious transactions and recommend appropriate actions;
• Automate manual data analysis tasks and processes to improve efficiency and accuracy;
• Monitor fraud detection systems and stay current on emerging fraud threats;
• Communicate effectively with stakeholders to present findings and recommendations;
• Support and maintain existing data analysis automations and internal applications used for fraud detection;
• To execute job responsibilities and verbal/ written instructions by management;
• To execute assigned tasks in compliance with the procedures/policy/instructions;
• To keep confidentiality of the company data.

• Bachelor Degree in Computer Science or Data Analytics;
• At least 1 years of experience with respect to the Data Analytics;
• Specific areas of expertise: Telecom Industry and Data Analysis;
• Proficiency in data analysis principles, SQL querying, Python, machine learning concepts, strong analytical and communication abilities; 
• Upper/intermediate level of English proficiency;
• Strong understanding of data analysis principles and techniques (descriptive statistics, hypothesis testing, etc.);
• Experience with data visualization tools;
• Working knowledge of machine learning concepts (supervised and unsupervised learning);
• Familiarity with fraud detection techniques and tools;
• Experience with automation tools and scripting languages (e.g., Python).

Applications will be reviewed against position requirements and only shortlisted candidates will be contacted.