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Responsibilities:
- Analyze and classify escalated fraud cases from Compliance, Credit Operations, and Collections teams.
- Identify, document, and analyze fraud patterns and modus operandi used by fraudsters.
- Propose new signals, rules, and controls for fraud prevention, monitor performance, and validate effectiveness.
Requirements:
- Between 2 and 4 years of experience in fraud prevention, risk management, or similar.
- Strong investigation, documentation, and communication skills.
- Experience in data analysis using advanced SQL and preferably Python, with AI tools.
Preferred:
- Intermediate English level for reading technical documentation and following up with vendors.
- Knowledge of consumer behavior, alternative data sources, and digital credit platforms.
Vana
Vana is a financial technology company operating in digital credit and fraud prevention across multiple markets. The company fosters a data-driven, agile culture focused on continuous improvement and protecting clients.