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PITEH: Providing Financial Identities to Those without Credit Score

Faced with growing competition in the microfinancing market and higher operational risk, it is ever more important for a Microfinancing Institution (MFI) to be able to leverage less conventional customer data to improve the efficiency of their lending models. Most MFIs are active in Malaysia where f...

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Main Authors: Salem, A.S., Mahamad, S.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097531390&doi=10.1109%2fICCI51257.2020.9247779&partnerID=40&md5=5b33da363ae0f7a2edc804e8fbff2798
http://eprints.utp.edu.my/29864/
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spelling my.utp.eprints.298642022-03-25T03:04:44Z PITEH: Providing Financial Identities to Those without Credit Score Salem, A.S. Mahamad, S. Faced with growing competition in the microfinancing market and higher operational risk, it is ever more important for a Microfinancing Institution (MFI) to be able to leverage less conventional customer data to improve the efficiency of their lending models. Most MFIs are active in Malaysia where financial history is generally non-existent on their user base which increases the difficulty in assessing the credit worthiness of individuals. Instead, an alternative source of data such as mobile phone call and SMS logs can be utilised to assist with this problem. In this project, call and SMS logs from the loan applicants are featured and used to train various classification models. PITEH is an Android mobile lending application that offers microfinance ranging from RM500 - RM5,000 by validating the creditworthiness of a loan applicant through the creation of credit scores using machine learning to classify data existing in the call and SMS logs. With users' explicit permission, the application will collect key pieces of data from users' Android devices solely for the purposes of underwriting loan applicants who do not have documented financial history. It will select these data sources for the purposes of understanding a user's potential financial capacity, his or her behavioural attributes, and to validate his identity. With something as simple as a credit score, we are giving people the power to build their own futures. © 2020 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097531390&doi=10.1109%2fICCI51257.2020.9247779&partnerID=40&md5=5b33da363ae0f7a2edc804e8fbff2798 Salem, A.S. and Mahamad, S. (2020) PITEH: Providing Financial Identities to Those without Credit Score. In: UNSPECIFIED. http://eprints.utp.edu.my/29864/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Faced with growing competition in the microfinancing market and higher operational risk, it is ever more important for a Microfinancing Institution (MFI) to be able to leverage less conventional customer data to improve the efficiency of their lending models. Most MFIs are active in Malaysia where financial history is generally non-existent on their user base which increases the difficulty in assessing the credit worthiness of individuals. Instead, an alternative source of data such as mobile phone call and SMS logs can be utilised to assist with this problem. In this project, call and SMS logs from the loan applicants are featured and used to train various classification models. PITEH is an Android mobile lending application that offers microfinance ranging from RM500 - RM5,000 by validating the creditworthiness of a loan applicant through the creation of credit scores using machine learning to classify data existing in the call and SMS logs. With users' explicit permission, the application will collect key pieces of data from users' Android devices solely for the purposes of underwriting loan applicants who do not have documented financial history. It will select these data sources for the purposes of understanding a user's potential financial capacity, his or her behavioural attributes, and to validate his identity. With something as simple as a credit score, we are giving people the power to build their own futures. © 2020 IEEE.
format Conference or Workshop Item
author Salem, A.S.
Mahamad, S.
spellingShingle Salem, A.S.
Mahamad, S.
PITEH: Providing Financial Identities to Those without Credit Score
author_facet Salem, A.S.
Mahamad, S.
author_sort Salem, A.S.
title PITEH: Providing Financial Identities to Those without Credit Score
title_short PITEH: Providing Financial Identities to Those without Credit Score
title_full PITEH: Providing Financial Identities to Those without Credit Score
title_fullStr PITEH: Providing Financial Identities to Those without Credit Score
title_full_unstemmed PITEH: Providing Financial Identities to Those without Credit Score
title_sort piteh: providing financial identities to those without credit score
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097531390&doi=10.1109%2fICCI51257.2020.9247779&partnerID=40&md5=5b33da363ae0f7a2edc804e8fbff2798
http://eprints.utp.edu.my/29864/
_version_ 1738657026244870144
score 13.211869

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