Machine Learning Fintech Services Fraud Prevention Engineer

Design end-to-end Machine Learning solutions, defining features, training, and monitoring models. Develop and evaluate risk models within the fraud prevention ecosystem for payments. Explore user behavior data to generate risk detection signals. Monitor model performance, stability, and degradation in production.

Advanced proficiency in Python and SQL for data processing, analysis, and modeling. Experience in developing and deploying Machine Learning models in production on data analysis platforms like BigQuery. Knowledge of relational modeling techniques, network analysis, and graph methodologies.

Hybrid work modality. Opportunity to work on challenging and innovative projects that impact e-commerce and financial services in Latin America.