Credit risk and collection software for financial institutions
pfsTECH builds proprietary platforms for credit risk, collection, and decision analytics—deployed across Latin America and Spain. The tech stack spans R, Python, SAS, and SQL across both cloud (GCP, Azure, AWS) and on-premises infrastructure (Oracle, SQL Server), indicating a mix of quantitative modeling and enterprise system integration. Active hiring across engineering, sales, and consulting—with a seniority skew toward senior roles—reflects a sales-led expansion phase targeting financial institutions and existing account penetration.
pfsTECH develops in-house software platforms that address core operational challenges in credit management, risk modeling, and collections for financial services. The company applies proprietary methodologies and platforms to customer business processes, focusing on reducing uncertainty, shortening time-to-market, and improving financial outcomes. Operating across Spain, Chile, Brazil, and Colombia, pfsTECH works with banks and financial institutions. Current work spans credit risk modeling, scorecard development, ETL integration, and business intelligence—alongside infrastructure compliance (ISO 27001, PCI DSS) and cross-selling initiatives within existing accounts.
pfsTECH uses R, Python, SAS, and SQL for analytics and modeling; .NET, C#, and ASP.NET for application development; Oracle and SQL Server for databases; and GCP, Azure, AWS for cloud infrastructure alongside on-premises systems (VMware, Linux, Red Hat).
pfsTECH is actively hiring across Chile, Brazil, Colombia, and Spain. Current open roles focus on engineering (5), sales (4), consulting (1), data (1), with most positions at senior level.
Projects include credit risk modeling, scorecard development, ETL integration, business intelligence analytics, and credit/collection platform implementations. The company is also strengthening relationships with financial institutions and expanding cross-selling in existing accounts.
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