Senior Cyber Security Fraud Analyst

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Requirements:

• 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.

Responsibilities:

• 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.