Analista Senior de Prevención de Fraude - Commerce

Analyze large volumes of data to obtain insights and make decisions aimed at reducing account theft risk. Conduct transactional analysis to understand patterns, generate quantifications, and implement solutions to improve action efficiency. Identify deviations in KPIs, investigate root causes, and implement changes to reverse trends. Support the data science team with tasks such as model voting, A/B testing, hypothesis formulation, threshold calibration, and feature engineering.

Degree in Engineering, Economics, Actuarial Sciences, or related fields. Proficiency in SQL and Excel. Experience with Python, R, or other data analysis and exploitation tools.

Be part of a company with an entrepreneurial spirit that values long-term thinking. Take charge of your development in an environment filled with opportunities, learning, growth, and challenging projects. Enjoy a great work atmosphere with everything you need for a fantastic experience.