Fraud Data Analyst

Key Responsibilities:

• Data Analysis: Collect, analyze, and interpret data from various sources to identify patterns and trends indicative of fraudulent behaviour;
• Fraud Detection: Help develop and implement fraud detection models and rules to proactively identify and prevent fraudulent activities and non-compliant behaviours in general;
• Reporting: Prepare and present regular reports on fraud trends, detection rates, and mitigation efforts to management and stakeholders;
• Collaboration: Work closely with cross-functional teams, including Engineering, Product, and Customer Support, to investigate and resolve fraud cases;
• Continuous Improvement: Stay up-to-date on the latest fraud trends and techniques, and continuously improve fraud detection and prevention strategies.

Key skills and qualifications:

• Bachelor's or Master's Degree;
• Experience: 2+ years of experience in data analysis, preferably in fraud detection, risk management or Trust & Safety area;
• Strong problem-solving and analytical skills;
• Knowledge of SQL and Python;
• Experience with data visualisation tools (e.g., Tableau) would be a plus;
• Excellent communication and presentation skills;
• English proficiency (written and verbal).

Your Identikit:

• Detail-oriented: Ability to identify subtle patterns and anomalies in data;
• Proactive: Takes initiative to identify and address potential fraud risks;
• Collaborative: Works effectively with cross-functional teams to achieve common goals;
• Adaptable: Thrives in a fast-paced and dynamic environment;
• Ethical: Maintains high standards of integrity and confidentiality.