Risk Antifraud Analyst [CO Portfolio Risk]

Join Plata as a Risk Antifraud Analyst to enhance fraud prevention strategies in our lending business. Collaborate with teams to analyze data and improve decision-making processes. 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.

• •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.

• •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.

• •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.