Cyber Security Fraud Analyst
I
Intuition MachinesCybersecurity, fraud detection
Workable locations: Warsaw, Masovian Voivodeship, Poland. Buenos Aires, Buenos Aires, ArgentinaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Minimum of 3 years of experience in fraud detection, financial data analysis, risk management, or trust & safety.
- Required Skills
- PythonSQLData AnalysisRisk Management
Requirements
- Have at least 3 years of experience in fraud detection, financial data analysis, risk management, or trust & safety.
- Be proficient in SQL; Python for data analysis and visualization is preferred.
- Understand fraud detection methodologies and the fraud landscape.
- Be able to work with large datasets and derive actionable insights.
- Have experience or familiarity analyzing web-based and API abuse.
- Have strong problem-solving skills and an analytical, detail-oriented mindset.
- Communicate and collaborate effectively in English across teams.
- Experience with web security and secure configuration practices is a plus.
- Familiarity with modern fraud machine learning practices is a plus.
- CFE, CFS, CFF, or CISA certification is a plus.
Responsibilities
- Monitor, identify, and analyze financial transactions, web traffic, and other data sources to detect and respond to fraudulent activities.
- Investigate suspected fraud, analyze behavior patterns and anomalies, assess risk, and determine appropriate actions.
- Collaborate with Engineering, Product, and Customer Support to enhance fraud detection and prevention strategies.
- Work with machine learning teams to improve AI/ML detection and response systems.
- Help build and align fraud detection automation, dashboards, and reports.
- Audit and refine fraud detection measures for compliance with industry standards and best practices.
- Track emerging fraud trends, technologies, and regulatory changes.
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