TurnKey Lender Wins at Credit Awards 2019

On May 17th, 2019, TurnKey Lender was announced the winner of the Credit Awards held by UK’s Credit Strategy. This award is meant to show that the winning companies have made a real contribution to the development of the FinTech industry as a whole and the world of credit in particular.

TurnKey Lender with its innovative use of deep neural networks in credit decisioning and an all-in-one intelligent platform for lending automation won the prize in the “Best Use of Technology – Lending & Credit Management” category.

This year, Credit Awards marked their 20th birthday. Over the years it has become one of the most widely known and respected programs within the credit industry. This time, around 1000 people attended the event to celebrate the winning companies and teams pioneering change in their respective fields.

The contestants were judged by impartial industry experts who worked in panels to ensure that each decision is fair and each winner deserves the prize, recognition, and acclaim.

Elena Ionenko, co-founder and Head of Business Development at TurnKey Lender, on winning Credit Awards:

“We’re always happy when big-time award shows like Credit Awards recognize the efforts TurnKey Lender makes to move the whole lending industry forward. In the last year, our company has made enormous progress. And we’re really happy that the judges understood the magnitude of what TurnKey Lender does, both for our clients and for the industry as a whole. Once again, thank you to Credit Awards and see you next year!”

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About TurnKey Lender

TurnKey Lender is a global leader in credit scoring, decision automation, and loan management. TurnKey Lender's multiple award-winning SaaS platform is an intelligent end-to-end solution for complete automation of lending operations conducted by both non-bank lenders and banks. The solution supports all stages of a loan life cycle – from application processing and automated decision making to collections and reporting. The system can be easily integrated with any internal and external data sources and services for automatic data retrieval and processing.

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