Risk Analyst Antifraud Senior

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Our team is responsible for developing and improving fraud prevention and detection strategies across the lending lifecycle. This includes designing decision-making processes, building and monitoring fraud models, developing antifraud rules, conducting behavioral and transactional analysis. Challenges that await you : Analyse fraud patterns and design requirements for improvements in anti-fraud strategies and decision-making systems Own and evolve Credit & Identity Fraud prevention strategy across lending products and lifecycle stages Build, validate, and maintain fraud detection models and rules Design and improve fraud decisioning frameworks combining rules, models, and risk signals Monitor fraud performance metrics and identify emerging risks or vulnerabilities within lending operations Collaborate with product and KYC teams to balance fraud prevention, customer experience, and business profitability Conduct deep-dive investigations into fraud cases to identify root causes and implement preventive measures Prepare regular fraud performance reports and present insights to stakeholders What makes you a great fit: 3+ years of experience in fraud analytics, credit risk, or fintech analytics roles Education in Mathematics, Physics, Engineering, Economics, or Computer Science Proficiency in SQL and experience working with databases Strong analytical mindset with an understanding of machine learning concepts Solid knowledge of mathematical statistics and probability theory Understanding of antifraud patterns and schemes B1 or higher English level for effective communication with an international team Our ways of working: Innovative Spirit: a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

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