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Self Learning Credit Scoring Model Presentation

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Self Learning Credit Scoring Model Presentation

  1. 1. First time loans to millions of unbanked mobile customers Company Logo here
  2. 2. Project Micro Loans • Build a Self Learning Credit Scoring Model • Determine credit worthiness of our mobile customers in order to enable us to provide them with credit and loans • Our mobile customers can apply for micro loans via their mobile phones. We determine their credit risk via their mobile billing history • First time financial services customers. Unbanked customers that have no prior relationship with a bank
  3. 3. ProjectImportance • Our mobile customer database and billing information containing transaction and payment history • We consider micro loans to have the highest probability of introducing financial services to our customers. We are forecasting it as our fastest growing service line in 2017 • We are providing greater financial inclusion to our customers currently underserved by banking institutions, irrespective of geography or social economic circumstances
  4. 4. ProjectDetails • 3 months project timeline per country • Determining up to 70% of our customer base as eligible for a loan of up to $250 • $100,000 total budget plus localisation costs for each country implementation • Our ideal partner is someone that exceeds at big data analytics

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