About Nubank Nubank is one of the world's largest digital financial services platforms, with around 54 million customers in Brazil, Mexico and Colombia. As a leading technology company, Nubank leverages its technology and innovation to create new financial solutions for individuals and SMEs that are simple, intuitive, convenient, low-cost and human. Guided by its mission to fight complexity and empower people, Nubank advances access to financial services in Latin America, connecting profit and purpose to create value and positively impact the communities in which it operates. Our Financial Crime Team The Financial Crime team plays a crucial role in supporting the company's growth by identifying the money laundering and terrorist financing (ML/TF) risks that Nubank faces in Colombia, designing and implementing controls to protect Nu Colombia from such risks. Role Responsibilities: - Enhance, monitor and maintain an expert rules system for anti-money laundering alerts to reduce alert volumes and prioritize cases for AML operations analysts. - Acquire AML and data analysis proficiency to identify challenges and opportunities in the AML program and leverage analytics and automation tools to address them. - Create risk models, hypothesis testing and alerts forecasting to enable the company to be protected and compliant while making pro-business and customer-centric decisions. Apply machine learning/AI for data modeling. - Emulate scenarios to identify money laundering activity. - Develop segmentation model building projects using machine learning and statistical analysis techniques. - Produce and maintain proper documentation of models and tools deployed. - Collaborate with engineers, data scientists, designers and business partners to coordinate and prioritize tasks involving analysis and developments. - Prepare data storytelling and visualization using key performance metrics for senior management and business partners for presentation, forecasting and further analysis. - Work as part of a team supporting automation tools development for Anti-Money Laundering (AML) Processes and Data Integrity projects. We Are Looking For: - An AML Support Senior Analyst with professional experience in analytical roles (at least 4 years). - Solid analytical background with experience manipulating big and small datasets to make decisions (SQL knowledge required). - Experience in project management and business analysis to translate detailed specifications into new or enhanced solutions. - Familiarity with ETL is a plus. - Experience with business intelligence tools and data visualization best practices. - Familiarity with data modeling using statistical algorithms. - Programming data analysis skills (Python, R) is a plus. - AI/Machine learning knowledge is a plus. - Previous experience with AML, Fraud or Risk Management is a plus. - Full professional proficiency in English is required.