Risk Antifraud Analyst positions focus on delivering results in their domain. This page aggregates open Risk Antifraud Analyst roles and what employers typically expect.
We are looking for a **Risk Antifraud Analyst** for the **Portfolio Risk Team** to build and scale fraud prevention capabilities for our lending business in Colombia. You'll play a key role in designing antifraud strategies, detecting emerging fraud patterns, and improving decision-making across the customer lifecycle. We work with SQL, Python, modern data platforms, and collaborate closely with Product, Engineering, and Risk teams to deliver scalable fraud prevention solutions. **Challenges that await you:** - Design, develop, and improve antifraud strategies, rules, and decision-making processes across the lending lifecycle. - Investigate fraud cases to identify organized fraud schemes, emerging patterns, and new attack vectors. - Analyze large volumes of transactional, behavioral, device and customer graph data to uncover fraud signals and generate actionable insights. - Evaluate external data sources, implement external products to the strategy based on Cost-Benefit analyses - Develop, validate, and optimize fraud detection rules - Use ML models in fraud detection, develop as an advantage. - Monitor fraud performance metrics, identify weaknesses in existing controls, and propose improvements. - Partner with Product, Risk Technology, Risk Portfolio, KYC, and Data Engineering teams to implement fraud prevention solutions while maintaining a seamless customer experience. - Conduct deep-dive analyses and root cause investigations to continuously strengthen fraud defenses. - Prepare analytical reports and present recommendations to stakeholders. **What makes you a great fit:** - 3+ years of experience in Fraud Analytics, Antifraud, Risk Analytics, or related analytical roles. - Experience in fintech, banking, lending, microfinance, payments, or gaming industries. - Degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative discipline. - Strong SQL skills and hands-on experience working with large datasets. - Proficiency in Python for data analysis. - Solid understanding of fraud patterns, fraud detection techniques, and behavioral analytics. - Strong analytical mindset with excellent attention to detail and the ability to investigate complex fraud scenarios. - Knowledge of mathematical statistics and probability theory. - B1 or higher English level for effective communication with an international team. **Your bonus skills:** - Experience launching or scaling fraud prevention functions in new markets or products. - Experience working with machine learning models for fraud detection. - Knowledge of portfolio risk analytics. - Experience working with real-time fraud detection systems and decision engines. - Spanish language proficiency. **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 of talented professionals building the future of fintech. **Our benefits:** - Relocation support to one of our hubs — Cyprus, Serbia, Spain, Georgia, or Kazakhstan — with assistance for the employee and their family. - Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5. - Healthcare Coverage. - Education Budget: Language lessons, professional training, and certifications. - Wellness Budget: Mental health and fitness activity reimbursements. - Vacation policy: 20 days of annual leave and paid sick leave.