self learning credit scoring model presentation
TRANSCRIPT
First time loans to millions
of unbanked mobile
customers
Company Logo
here
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
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
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