Senior Cyber Security Fraud Analyst

Minimum of 3 years of experience in fraud detection, financial data analysis, risk management, or trust & safety. Proficiency in SQL and ideally Python for data analysis and visualization. In-depth understanding of fraud detection methodologies and the fraud landscape. Ability to work with large datasets and derive actionable insights. Excellent problem-solving skills, with a detail-oriented and analytical mindset. Strong communication and collaboration skills in English, able to work effectively across teams. Familiarity with the analysis of web-based and API abuse.

Monitor, identify, and analyze events from diverse data sources, including financial transactions and web traffic, to detect and respond to fraudulent activities. Conduct advanced investigations of suspected fraud, analyzing behavior patterns and anomalies to assess risk and determine appropriate actions. Collaborate with cross-functional teams, including Engineering, Product, Customer Support, and SOC, to enhance fraud detection and prevention strategies. Help build and align fraud detection automation, dashboards, and reports. Continuously audit and refine fraud detection measures to ensure compliance with industry standards and best practices. Stay informed of emerging fraud trends, technologies, and regulatory changes to keep our fraud prevention strategies up-to-date.