Description: Join us if you are someone who: * Is passionate about new technologies and modeling techniques to apply to new businesses; * Has skills in handling large volumes of data and programming; * Enjoys and possesses high autonomy in conducting your activities; * Has the ability to work collaboratively and always with a team spirit; * Is curious and motivated to solve new problems. What you need to participate in the selection process: * Experience in developing algorithms and modeling techniques and machine learning; * Familiarity with explanatory event modeling such as fraud, credit, churn, etc.; * Mastery of statistical concepts: probabilistic theories, sampling techniques, and main estimators and their properties; * Knowledge of Python and SQL, or other data manipulation and/or statistical analysis software; * Practical experience in code optimization, standardization, and GIT versioning; * Ability to convey technical concepts in a didactic manner; * Ease in understanding negotiation and business vision; Activities: * Support commercial areas in understanding new fraud problems and implementing statistical models that make business sense, studying customer needs, tool usage flows, and offender profiles; * Continuously improve existing models to make the good even better; * Help demonstrate our value to new customers; * Combine high-quality proof-of-value studies with rapid delivery, meeting the demands and specificities of each segment; * Constantly update yourself on new practices for fraud prevention and data analysis technologies. 2512300202491777213