New AI mortgage lender to join Legal & General Mortgage Club

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MPowered Mortgages is part of mortgage technology business, MQube, and offers a range of specialist buy-to-let and portfolio products.

Its addition to the Mortgage Club comes after Habito, West One Loans and Molo Finance announced they were joining earlier this year.

MPowered Mortgages uses advanced AI and deep learning technology to collate and analyse data for advisers. The lenders said this helped minimise delays throughout the mortgage application process and removed unnecessary and repetitive steps in the application process.

This helped to improve the overall customer experience.

The addition of MPowered Mortgages to Legal & General Mortgage Club’s lender panel will bring the total to over 112 different bank and non-bank lenders.

Emma Hollingworth, distribution director at MPowered Mortgages, said: “Our mission as a business is to ensure that every participant in the UK mortgage market [has] access to the best-in-class technology available, to help them deliver for their clients.

“Given their prominent role in the market, our partnership with Legal & General Mortgage Club, which we are delighted to be announcing today, helps us to make a considerable stride towards the realisation of this goal.

“MPowered has been designed with brokers, not just for them, and we are pleased to be in a position to deliver further time and cost savings to brokers, through this partnership. Legal & General Mortgage Club shares our vision for a tech-enabled future and our commitment to deliver for brokers.”

Danny Belton, head of lender relationships at  Legal & General Mortgage Club, said: “We’re very pleased to welcome MPowered Mortgages to our panel.

“They are a new entrant to the market but one which is using cutting-edge technology to drive our market forwards.

“Since the start of the crisis, we have seen how technology can help our sector and it is excellent to offer these products to advisers as in today’s busy mortgage market, the ability to quickly and efficiently make lending decisions will help to counteract delays.”