Peruvian retail bank scaling cloud data infrastructure and automation
Banco Ripley Perú operates a retail banking franchise serving Peruvian families through credit products, deposits, and digital channels. The tech stack—SQL, Python, R, Power BI, AWS (Glue, Redshift, Athena, QuickSight)—signals a data-driven bank in mid-migration to cloud analytics. Active projects span real-time data pipelines, campaign automation, predictive credit modeling, and security audits, while hiring leans finance (4 roles) and security (3), reflecting simultaneous pushes toward risk management and infrastructure hardening.
Banco Ripley Perú is a retail bank headquartered in San Isidro, Lima, serving individual and family customers across Peru with credit cards, mortgages, deposits, and homebanking services. The organization employs 1,001–5,000 staff and operates across traditional banking channels plus digital platforms. Current operational focus spans campaign automation, credit risk modeling, cloud security, and data quality—areas where the bank is actively hiring senior-level talent in finance and security functions. The bank is building AWS-based data pipelines (Glue, Redshift, Athena) to improve insight generation and operational efficiency.
SQL, Python, R, Power BI, Excel, AWS (Glue, Redshift, Athena, QuickSight), Azure, GCP, Apache Spark, SAP, SPSS, and Anaconda. AWS is the primary cloud infrastructure.
End-to-end campaign automation, real-time data ingestion pipelines in AWS, predictive credit models, campaign performance dashboards, and cloud security audits. Data governance and business continuity assessments are also underway.
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