Credit Risk Assessment using Machine Learning algorithms

Home Credit is an international Non-Banking Financial Institution (NBFC) founded in 1997 in the Czech Republic. The company operates in 14 countries and focuses on lending primarily to people with little or no credit history.

Home Credit strives to broaden financial inclusion for the unbanked population by providing a positive and safe borrowing experience. In order to make sure this underserved population has a positive loan experience, Home Credit makes use of a variety of alternative data--including Telco and transactional information--to predict their clients' repayment abilities.

Home Credit is currently using various statistical and machine learning methods to make these predictions successful. This will ensure that clients capable of repayment are not rejected and that loans are given with a principal, maturity, and repayment calendar that will empower their clients to be successful.

Evner: Statistikker, Statistisk analyse, Matematik, Algoritme, Programmeringssproget R

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( 0 bedømmelser ) Singapore, Singapore

Projekt ID: #27482700

13 freelancers are bidding on average $2296 for this job


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