Job summary About Nubank is one of the world's largest digital financial services platforms, with around 54 million customers in Brazil, Mexico and Colombia. As one of the world's leading technology companies, 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 is advancing access to financial services in Latin America, connecting profit and purpose to create value and positively impact the communities in which it operates. For more information, visit Our Financial Financial Crime (FinCrime) Team The FinCrime Team has a very special role in our mission: support 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. The Financial Crime team is in charge of shielding Nu to comply with regulations and mitigate the risks associated with illegal activities. Qualifications - Professional experience with analytical background (at least 4 years). - Solid analytical background. Must be comfortable manipulating big and small datasets to make decisions (SQL knowledge is 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, like: Looker or Data Studio, 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. Responsibilities - Support enhancing, monitoring, and maintaining an expert rules system for anti-money laundering alerts to reduce the alert volumes to be sent over and prioritize cases for AML operations analysts. - Acquire AML and data analysis proficient knowledge 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 that help 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 the design and establishment of processes for agile execution of threshold tuning projects per approved methodology that allow for proper performance while maintaining documentation necessary for compliance testing, internal audit, and regulators validation. - Partner with our engineers, data scientists, designers, and business partners to coordinate and prioritize tasks involving your 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 of data analysts supporting automation tools development for Anti-Money Laundering (AML) Processes and Data Integrity projects, including requesting, profiling, extracting, analyzing, testing, and reviewing data. - Review data quality to ensure reports and analyses are meaningful and accurate. - Work with Business Analysts to complete data mapping within project deliverable timelines. - Work with Analytics Engineers collaborating with specification, design, and implementation data architecture solutions for AML systems. Benefits - Equity at Nu - Life insurance - Health insurance - NuLanguage Program - NuCare Program - Extended Parental Leave Job summary The position is based in Bogotá, Colombia. Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. 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