Analista Sênior para Prevenção à Fraude

Investigate large volumes of data using analytical and statistical approaches to identify patterns and new typologies of fraud. Design, implement, test, and continuously refine detection rules and predictive models to prevent financial losses. Monitor key risk KPIs, measure the performance of rules/models, and provide feedback on strategies through complex case analyses.

Bachelor's degree in Engineering, Actuarial Sciences, Systems, Economics, Statistics, Mathematics, or related analytical fields. Proficiency in SQL and data analysis/visualization tools (such as Tableau, Looker, Excel). Proven experience in fraud-related activities demonstrating problem-solving skills and understanding of fraud typologies.

Be part of an entrepreneurial company that values long-term thinking and offers opportunities for development in a challenging environment. Collaborate and learn with excellent professionals and specialists in a positive work atmosphere.