BrokerSense Marketplace – Better connecting underserved mortgage borrowers with the specialist lenders who can serve them.
BrokerSense Marketplace – Better connecting underserved mortgage borrowers with the specialist lenders who can serve them.
批准号:
85402
负责人:
金额:
$6.46万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
抵押贷款市场中明显存在着一种偏见,这种偏见正在影响那些被认为是不标准的抵押贷款申请的人,无论是与他们的收入状况(自雇人士、不良信用记录等)有关,还是与他们要求抵押贷款的房产有关(大型混凝土板建筑、房地产用地上的结叶草等)。事实上,虽然有许多专业贷款机构为这个市场服务,但由于存在多种贷款标准,使得此类申请非常复杂,因此它们的报价往往不能满足需求。在2019冠状病毒病的背景下,这个问题将影响到越来越多的申请人,因为劳动力市场正面临压力,750万雇员休假,零时合同明显增加,与此同时,贷款人变得更加厌恶风险,住房抵押贷款市场正在萎缩。抵押贷款经纪人是该行业重要的中介机构。他们帮助客户找到适合他们情况的抵押贷款。然而,抵押贷款经纪人在完成贷款时收取一定比例的费用,这降低了他们支持不太值得花时间的复杂案件的动力。专业经纪人会接受困难的案件,但通常收取5倍以上的费用。在这个项目中,Lazy Dog software将建立一个一流的服务,能够为特定客户推荐最相关的贷款人,大大减少经纪人寻找匹配贷款所花费的时间。因此,懒狗软件公司正计划改造其现有的解决方案BrokerSense,以实现这一目标。BrokerSense是一个SaaS平台,允许英国的经纪人根据他们的负担能力搜索抵押贷款机构。在这个项目中,BrokerSense将转变为一个双边市场,通过客户数据将经纪人和贷款人连接在一个工具上。利用这些数据,我们将开发一种解决方案,能够显著减少经纪人寻找抵押贷款报价所花费的时间,特别是在复杂的情况下。我们项目的成果将提高市场的能力,以满足复杂情况下客户的需求,同时减轻他们的经济负担。因此,它将对抵押贷款市场的包容性和公平性产生强烈影响,在经济收缩的背景下,这对英国纳税人至关重要。
英文摘要
There is a clear existence of a bias in the mortgage market that is affecting people whose mortgage application is considered non-standard, be it either related to their income situation (self-employed, bad credit history, etc.) or to the property for which they are requesting a mortgage loan (Large Concrete Panel construction, knotweed on property grounds, etc.).Indeed, while a number of specialist lenders exist to serve this market, their offer often does not meet demand due to the existence of multiple lending criteria that render such applications very complex.In the context of COVID-19, this issue will affect a growing proportion of applicants, as the labour markets are facing a strain with 7.5 million employees on furlough and a clear increase in zero-hour contracts, all the while lenders are becoming more risk-averse and the house mortgage market is seeing a contraction.Mortgage brokers are critical intermediaries in the industry. They support clients going through the process of finding a mortgage offer that suits their situation. However, mortgage brokers charge a proportion of the loan at completion, which reduces their incentive to support less time-worthy complex cases. Specialist brokers would accept difficult cases but typically charge fees that are 5 times higher.In this project, Lazy Dog Softwares will build a first-of-class service able to suggest the most relevant lender for a given client, significantly reducing the time spent by brokers searching for a matching loan offer. Lazy Dog Softwares is thus planning to transform its existing solution, BrokerSense, to do so. BrokerSense is a SaaS platform allowing UK-based brokers to search mortgage lenders based on their affordability. In this project, BrokerSense will be transformed into a two-sided marketplace linking brokers and lenders on one tool through data on their clients. Using this data, we will develop a solution able to significantly reduce time spent by brokers searching for mortgage offers specially in complex cases.The results of our project will improve the capacity of the market to serve the needs of clients in complex situations while reducing the financial burden on them. It will therefore have a strong impact on the inclusivity and equity of the mortgage market that is critical for UK taxpayers in a context of economic contraction.
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