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.
