[Hiring] Risk Antifraud Analyst @Plata Card

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Relocation support to one of our hubs — Columbia, Cyprus, Serbia, Spain — 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+2.
• 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.