We are looking for a highly skilled and proactive Antifraud Analyst to strengthen our Fraud Prevention team. This is a key role focused on developing antifraud rules, analyzing fraud cases, and collaborating closely with agents to improve fraud detection and operational efficiency.
If you have strong analytical thinking, hands-on antifraud experience, and want to directly influence risk management and system logic, this is your opportunity to make a measurable impact on fraud prevention at scale.
Challenges that await you
Your main responsibility will be to design, test, and improve antifraud rules for existing products and new fraud scenarios related to products launching in 2026, balancing security and customer experience.
Develop, optimize, and document antifraud rules across multiple channels (card, transfers, tokenization, etc.).
Improve cost efficiency and controls for operational antifraud tools
Collaborate with agents to investigate alerts, verify rule logic, and adjust thresholds.
Analyze confirmed fraud cases and identify new patterns or emerging risks.
Conduct back-testing and assess the efficiency of existing rules.
Propose and implement new approaches for fraud detection automation.
Monitor fraud metrics, build queries, and create dashboards to track performance.
What makes you a great fit
Proven experience in antifraud analytics (banking or fintech).
Practical experience in rule creation and optimization in antifraud systems.
Strong skills in SQL for data analysis and Python for automation or modeling (a big plus).
Solid understanding of payment processes, transaction flows, and fraud typologies.
Analytical mindset, attention to detail, and ability to translate insights into actionable solutions.
Excellent communication skills for effective collaboration with agents and cross-functional teams.
English level B1+ or higher — enough for written and verbal communication.
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