Don't Fear the Algorithm: The Risks and Benefits Of Machine Learning in Finance - NextB... - 0 views
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Machine learning is a critical component of this process, as it allows us to enhance our predictive ability to better identify these qualifying customers. As a result, we are making significant strides towards our goal of creating the world’s leanest and lowest-cost banking infrastructure. This helps our bank partners offer loans at the lowest possible rate, and it helps our customers to achieve higher-yield savings. We’ve proven that our model works. Twelve million customers in Africa and Asia have saved or borrowed on the JUMO platform, and roughly 70% of these customers are micro and small businesses. We’re incredibly proud of our progress so far – but we know there’s more we can do.
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To test our approach, we looked at Ghana, running new and advanced machine learning algorithms on signals associated with a pool of lending applicants. The goal was to identify combinations of signals — from income size and deposit frequency to mobile phone battery life and mobile wallet transaction patterns — that would serve as more accurate indicators of likely fraud than existing models.