Risk Antifraud Analyst [CO Portfolio Risk]
1 мес. назад
WorldwideMiddleRemote
sqlpythonmachine learning
Build and scale fraud prevention capabilities for a lending business, involving antifraud strategy design, fraud detection, and data analysis.
Будет плюсом
- 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.
Условия
- 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.
Другое
- 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.
- 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.
- 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.
- 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.