Client Background

The client is a leading fintech company operating in Sri Lanka, building financial products where lending and risk decisions increasingly depend on data-driven models rather than manual judgment alone. 

The Challenge

The company needed a Data Science Lead capable of building predictive modelling and credit risk analytics capability from the ground up. This required more than general data science experience — the candidate needed demonstrated ability to build models with real financial consequences, where an inaccurate credit risk model could translate directly into bad lending decisions. Finding a candidate who combined strong technical modelling skill with genuine understanding of credit risk and financial data was the core difficulty, since these two areas of expertise don’t always overlap in the same candidate.