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Responsibilities
- Monitor, identify, and analyze events from diverse data sources
- Conduct advanced investigations of suspected fraud
- Collaborate with Engineering, Product, Customer Support, and SOC teams
- Help build and align fraud detection automation, dashboards, and reports
- Continuously audit and refine fraud detection measures
- Stay informed of emerging fraud trends, technologies, and regulations
Requirements
- Minimum of 3 years in fraud detection, financial data analysis, or risk management
- Proficiency in SQL and ideally Python for data analysis and visualization
- In-depth understanding of fraud detection methodologies and landscape
- Ability to work with large datasets and derive actionable insights
- Excellent problem-solving skills with a detail-oriented mindset
- Strong communication and collaboration skills in English
- Familiarity with web-based and API abuse analysis
Nice to Haves
- Hands-on experience with web security and secure configuration practices
- Interest in staying current with industry trends and fraud prevention technologies
- Familiarity with modern fraud machine learning practices
- Holding a valid CFE, CFS, CFF, or CISA certification
Benefits
- Fully remote position with flexible working hours
- An inspiring team of colleagues spread all over the world
- Pleasant, modern development and deployment workflows
- High impact: lots of users, happy customers, high growth, and cutting-edge R&D
- Flat organization, direct interaction with customer teams
