What You'll Do
Detect patterns, anomalies, and trends of fraud in digital channels. Design statistical analyses, segmentations, and indicators to anticipate risks. Optimize strategies, models, and alerts through the analysis of false positives and negatives. Drive the use of Machine Learning and AI to enhance fraud prevention.
What We're Looking For
3 to 5 years of experience in Fraud Prevention, Fraud Analytics, Risk Analytics, or Data Science, preferably in digital banking or fintech. Advanced SQL and intermediate Python skills. Knowledge of applied statistics, data visualization, and anomaly detection.
What We Offer
Competitive salary and benefits designed to support your life and well-being. Opportunities for growth, international mobility, and career development. Support for family care and volunteer work.
Key Skills & Technologies
Additional Information
Experience Level
Mid-Level
Job Language
Spanish
Employment Type
Full-time
Work Mode
On-site