Large-scale banking operations across Latin America with advanced analytics and risk management
Santander Brasil operates a significant retail and commercial banking franchise across Brazil and Latin America, serving over 10,000 employees. The tech stack reveals a heavy quantitative finance footprint—PuLP, Gurobi, CPLEX, OR-Tools, scikit-learn, and SAS point to optimization and risk modeling as core operational functions. Current hiring is heavily sales-skewed (169 of 253 active roles), with accelerating velocity and mid-to-senior focus, indicating aggressive customer acquisition and portfolio expansion across new markets (UK, Brazil, Portugal, Peru, Mexico).
Notable leadership hires: Product Lead
Santander Brasil is a major banking operation serving retail, small business, and corporate clients across Brazil and Latin America. The organization is structured around client portfolio management, micro and small business lending, and financial crime risk assessment. Active projects span microfinance platform development (Prospera), client segmentation, portfolio optimization, and branch efficiency improvements. The company uses Databricks, Apache Spark, Airflow, and SQL for data pipelines; PowerBI and Tableau for analytics; and ServiceNow for operational management. Sales-led hiring velocity and multi-country expansion signal aggressive growth in customer acquisition and segment penetration.
PuLP, Gurobi, CPLEX, OR-Tools for optimization; scikit-learn, pandas, NumPy for ML; Databricks and Apache Spark for data processing; PowerBI and Tableau for analytics.
Brazil (primary), United Kingdom, Portugal, Peru, and Mexico. Recent hiring spans all five locations.
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