Work in the Advanced Analytics team serving all other areas of the company, providing analytical solutions that guide decision-making and drive results;
Serve as a technical reference for data analysis, supporting decisions by translating requirements into analytical solutions and proposing new approaches;
Perform exploratory analyses, hypothesis testing, and advanced studies, turning results into actionable recommendations;
Ensure quality in model development and apply best practices in data modeling and data governance;
Contribute to the technical growth of the team.

Knowledge of payment methods is desirable (preferably credit cards and related financial products).
Strong experience developing supervised and unsupervised statistical models across the entire credit lifecycle (credit risk, new product activation, collections/recovery, fraud);
Experience with segmentation models (clustering);
Experience monitoring models in production;
Strong data analysis skills and experience handling large volumes of information;
Experience working in high-volume data environments;
Machine learning (regressions, clustering);
Model deployment and monitoring;
Proficiency in SQL and Python, with experience using Databricks;
Microsoft Office suite (Excel, PowerPoint, Power BI);
Development of dashboards in Excel and Power BI.

Advanced Analytics Analyst, Data Modeling

Key skills