ESTATEGURU has launched a data science team as part of its plan to build “a more data-driven organisation”, in order to speed up its processes and create more investment opportunities.
The pan-European peer-to-peer lending platform, which offers short-term, property-backed loans to small businesses, has appointed Egyptian data scientist Nesma Almoazamy to join the newly-launched team, which will sit within the risk department.
Additionally, it said that it is integrating more external data providers, including borrower and property data, into its systems.
“This move will lead to more automatic models for credit scoring, lead generation and marketing analysis,” said Andres Luts, risk manager for the Baltics at EstateGuru.
“Consequently, we are changing how crowdfunding uses data, and we are building a data platform which will eventually also be suitable for machine learning.”
EstateGuru said on Friday that its key goals regarding data science are automatic data handling to make faster decisions for borrowers, the creation of more investment opportunities for investors, and maximizing investor value.
“I believe that, with the support of our team members, these goals are achievable in the coming years,” said Luts.
“The implementation of a data-driven culture at EstateGuru has not been difficult as we are flexible by nature, and we do not have to overcome a rigid legacy. Therefore we can continue disrupting the financial sector and data science scene in the future.”
EstateGuru on Thursday announced the launch of its secondary market, in response to feedback from its investors.
EstateGuru has more than 32,000 investors from 106 countries and has lent out more than €150m (£130m) since launching in 2014.