Lending Support
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Project scope
Categories
Data analysis Information technologySkills
python analytic problem solving modelling machine learning big dataAccording to McKinsey, Africa has the third largest population of unbanked adults (326 millions) representation 80% of the adult’s population.
According to banking executives in Africa, assessing consumer credit risk is one the main challenge facing banks and slowing the access to credit.
One of the reason for slow credit is the lack of data to assess lending behavior and the ability to repay. KASI has pioneered a survey based index that captures lending activities/behavior outside of the banking system and compute quantitative metrics (similar to a score).
The students will be tasked to develop a recommendation engine for lending decision (personal or business) using internal data collected by KASI and external data available and relevant. The output will help credit officers with lending decisions in Africa.
About the company
Kasi Insight exists to empower decision makers with context, insights and foresight needed to win in Africa. We provide real time, aggregated and trended primary data on and across Africa at a speed and ease not matched by traditional market research.
We are an authentic African success story born, funded, led and supported by Africans. We want our story to inspire our clients that they can achieve the impossible.
Mission: We empower decision makers with context, insights and foresight needed to win in Africa.
Vision: To unlock the Africa where you can win and inspire with confidence.
We navigate African Insights for you. We fuse exclusive real-time data with applied AI to decode African opinions, actions, and the future. With our cutting-edge platform, we tap into 609 million African voices, conducting 12,000+ monthly interviews across 20+ major economies, crafting tailored projects spanning every corner of the continent.
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