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 anti-fraud rules, conducting behavioral and transactional analysis.
Challenges that await you
Analyze fraud patterns and design requirements for improvements in anti-fraud strategies and decision-making systems.
Build, validate, and maintain fraud detection models and rules.
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
English level B1 or higher for effective communication in an international environment.
1+ years of experience in analytical roles in credit or lending products (fraud analytics, data science, or related fields).
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 anti-fraud patterns and schemes.
Our ways of working
Innovative Spirit: a commitment to creativity and groundbreaking solutions.
