Aldermore selects Finova lending origination platform
0
Aldermore is a long-standing customer of Finova, first partnering with the provider in 2016. Following a comprehensive market review, Finova delivered a series of successful pilot projects with its lending platform, formerly known as Apprivo. Building on this success, Aldermore has chosen to extend this relationship across both origination and servicing - covering key areas of its mortgage business, including specialist buy-to-let, commercial real estate, and residential lending.
The expanded five-year partnership is built on a shared commitment to cloud-native technology and agile delivery. By adopting a more flexible, iterative approach to development, both organisations aim to accelerate innovation and ensure the platform continues to evolve in line with Aldermore's strategic goals.
For mortgage originations, Aldermore will adopt Finova Lending - a SaaS-based origination platform helping to streamline the time to offer and improve operational efficiencies. Aldermore will benefit from a number of key features including advanced decisioning tools, its task automation module 'Enhanced Tasks' and post-contract variation capabilities - such as product switches and further advances. In addition, Finova Lending's self-serve features will enable Aldermore to make rapid in-house changes to products and pricing, driving operational agility and enabling faster responses to market volatility.
Aldermore also cited Finova Lending's composable architecture as a major factor in its decision. The platform's modular design allows for either a fully orchestrated end-to-end solution or a headless setup that integrates into Aldermore's own existing composable tech stack.
For mortgage servicing, Aldermore is already benefiting from the successful upgrade and migration of its servicing solution to Microsoft Azure. Finova has significant expertise in managing complex Azure workloads, with most of its client base already operating in Azure as a managed service. By joining this hosted environment, Aldermore will benefit from containerised infrastructure, Security Operations Centre (SOC) and Security Information and Event Management (SIEM) capabilities, live operational data feeds, and other Azure-native services.
Richard Marsh, Chief Operating Officer at Finova said:
'We are delighted to extend the partnership with Aldermore. It's an extensive partnership covering origination for a range of mortgage products, wholly powered by Finova Lending and an upgrade and cloud migration of our servicing solution. Together, Finova and Aldermore are building a robust platform to meet Aldermore's ambitious targets for UK specialist lending, and I am looking forward to building on the initial success of this relationship over the coming years.
Ross Dalzell, Managing Director of Property at Aldermore, added:
'As a lender, we faced the decision of whether to build in-house or invest in a third-party solution. Finova Lending gives us the best of both worlds—a fully deployed solution with the flexibility to build on top of it, thanks to the platform's composable architecture. It's the right fit for our strategy, and we're excited to go live with buy-to-let as the first step in this journey.'
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Finextra
4 days ago
- Finextra
Finova appoints Gareth Richardson from Thought Machine as new CEO
Finova, the UK's largest cloud-based mortgage and savings software provider, has today announced the appointment of Gareth Richardson as its new Chief Executive Officer (CEO). 0 Gareth brings a wealth of experience in banking and technology, positioning him ideally to lead Finova through its next stage of growth and innovation. Gareth joins Finova after six and a half years at retail banking technology firm Thought Machine, where he served as Chief Operating Officer and Deputy CEO. During his tenure, he played a key role in scaling the company into a globally recognised leader in cloud-native banking infrastructure, helping to redefine the industry's approach to real-time, cloud-based systems. His appointment marks a defining moment for Finova. Over the past 12 months, the company has completed its transition to a fully SaaS-based product suite, secured strategic investment from Bain Capital's Tech Opportunities business and Octagon Capital, and merged with MSO under the Finova brand. It has also sustained commercial momentum, recently signing a landmark five-year partnership with Aldermore to deliver mortgage origination and servicing across buy-to-let, commercial real estate, and residential lending via Finova's cloud-native lending platform. Gareth's arrival follows a wave of senior leadership hires and promotions, including Richard Marsh as Chief Customer Officer, Rowan Clayton as Chief Product Officer, and Richard Bolger as Chief Human Resources Officer. Pranav Sood, Operating Partner at Bain Capital, said: 'We are delighted to welcome Gareth to Finova at this exciting juncture. Under its current leadership, Finova has built a market-leading business that now powers one in five mortgage originations in the UK. Gareth's proven track record in scaling fintech companies, coupled with his deep technical expertise, makes him exceptionally well-suited to guide Finova's continued evolution and deliver lasting value for our customers and stakeholders.' Paraag Dave, Non-Executive Director of Finova and Managing Partner at Octagon Capital, said: 'Over the past few years, we have laid the foundations to enable Finova to scale. With these foundations firmly in place and a strengthened senior leadership team focused on product innovation and customer success, this is a perfect time to welcome a new CEO. Gareth's vision and operating expertise are an ideal fit for Finova, and I look forward to working with him in the years ahead.' Gareth Richardson, CEO of Finova, said: 'The fintech industry is entering a new era, driven by advances in AI and rapidly changing customer expectations. It's a privilege to lead Finova at such a pivotal time. 'As the UK's largest mortgage and savings technology provider, we're uniquely positioned to capitalise on our scale and market experience to help customers navigate this shift. I'm excited to be joining a team of deep experts who bring real insight, energy, and ambition to this challenge. 'By accelerating the move to SaaS and working in close partnership with lenders, brokers, and customers, we'll deliver the innovation needed to meet rising expectations — creating smarter, faster, and more personalised experiences for all.'
Finextra
11-07-2025
- Finextra
Finova appoints Ray Barry as customer succcess director
Finova, the UK's leading cloud-based mortgage and savings software provider, is pleased to announce the appointment of Ray Barry as Customer Success Director. 0 This appointment is part of Finova's broader strategic investment in customer experience and long-term value delivery. Ray's appointment marks a critical step in the launch of Finova's newly formed Customer Success function. At a time when customer needs are rapidly evolving, Finova has established a dedicated function solely focused on supporting client success, retention, and long-term partnerships. This move follows the recent promotion of Richard Marsh to Chief Customer Officer, who will oversee the strategy and implementation of the new division. Ray brings over a decade of senior leadership experience across global tech giants including Microsoft, Salesforce, and IBM. Most recently, he served on the UK leadership team at Nordcloud (an IBM Company), where he played a key role in scaling the business and embedding a customer-focused approach. At Finova, Ray will be responsible for building the Customer Success team from the ground up— recruiting talent, introducing data-led strategies, and ensuring that customer interactions are consistently aligned with clients' business objectives. Ray Barry, Customer Success Director at Finova, commented: 'Joining Finova at this pivotal moment in the company's journey is a really exciting opportunity. We are creating a Customer Success practice that will set a new benchmark in the mortgage technology space, designed to anticipate customer needs, deliver strategic outcomes, and forge long-term partnerships. I'm looking forward to leading this transformation and building a team committed to empowering our customers at every stage of their journey.' Richard Marsh, Chief Customer Officer at Finova, added: 'Ray brings an outstanding track record of building high-performing Customer Success teams in some of the world's most respected tech companies. His experience, combined with his hands-on leadership style and strategic mindset, makes him the ideal person to lead this vital new function. This investment underscores Finova's commitment to prioritising customer outcomes.'
Edinburgh Reporter
07-07-2025
- Edinburgh Reporter
Why Now Is the Time to Hire a Machine Learning Engineer
Machine learning is no longer just a tech-world buzzword. It is the engine of personal shopping, real-time fraud prevention, predictive healthcare and smart automation. From billion-dollar companies to world-wide startups, businesses are scrambling to wrangle data, automate workflows, and build smarter products. And there is one position at the center of it all: the machine learning engineer. But why hire one now? Let's break it down. What Does a Machine Learning Engineer Do? Machine learning engineers are not mere coders. They're the engineers behind task-automating, insight-generating, and decision-driving AI solutions. Given that AI specialist jobs are growing 3.5 times faster than the average job in the US, demand for their skills isn't going to slow down any time soon. As part of their job, ML engineers: Create and push ML models which are able to process huge amount of data. Build Intelligent AI-powered Automation tools for an efficient Work flow. Optimize algorithms and implement new ones in a business context with high precision and performance. Curate and clean massive amounts of data, so that models can learn from the best possible information. While data scientists are on a quest to look for insights and software engineers are building products, so there's this huge gap between the two things, the ML is really this sweet spot in where you take data and actually functional, scalable AI solutions. As AI consumption continues at scale throughout industry as well, this is the best time to hire machine learning engineer and stay ahead of the curve. Predictive analytics to intelligent automation – ML engineers can help you harness the untapped value found in your data and make smarter business decisions. With competition stiffening and customer expectations heightening, organizations that bring in machine learning engineers now are those who will be empowered to innovate, evolve and lead in the future. AI Is on the Fast Track to Adoption Machine learning is no longer the domain of scientists and research labs. Today, ML drives your every-day apps from Netflix's recommendation engine to smart thermostats. Companies need engineers who can take models from off the whiteboard and into production. Libraries such as TensorFlow, PyTorch, and Scikit-learn have made the barrier to entry lower. Cloud platforms such as AWS, Azure, and Google Cloud offer ML infrastructure out-of-the-box. With a good engineer, you can deploy all of this at speed. Data Is Expanding So Is the Job of Using It Well These days, each field except a government supercomputer lab is lacking data at high volume. But data is raw material: it means nothing without people to transform it into patterns, predictions, outcomes. 'We are not just data guys who understand models, but we understand pipelines.' A talented ML engineer can wrangle your messy data, develop your features, train algorithms, and deploy them to generate real-time insights. Your Competitors Already Hired The companies that bet on ML early are seeing those investments pay off now. Consider Spotify's discovery algorithm or Uber's dynamic pricing. These systems didn't just come into existence overnight – they were constructed by future-forward teams with know-how in ML. Whether you're tuning supply chains, reducing churn or enhancing customer support with AI chatbots, machine learning is being brought into the mix at breakneck speed. Delaying too long now may consign us to playing catch-up for years. ML Engineers Do More Than Just Code So yes, okay, good ML hiring isn't just getting someone who can tweak models around for fun. They say: What is the problem that we're trying to solve? and How do we make efficient use of the data to solve it? They connect tech decisions to business outcomes in the real world. ML engineers work with data scientists, product managers, DevOps and sometimes the customer success team. They help turn business needs into smart systems — and they make sure those systems actually work. Hiring Is Competitive – But Talent Is Out There You can now operate without being tied to your geography. Machine learning engineers in Warsaw or Nairobi can contribute equally well as those in San Francisco, with tools that are remote friendly and support remote development, and cloud environments. You don't have to have a Stanford PhD. Many of the best engineers of today are self-taught, or bootcampers, or ex C.S., who pivoted to ML. The key is hands-on experience, curiosity and a portfolio of real-world projects. Investing in Your Future From predictive maintenance to customer segmentation, machine learning can cut costs, boost revenue and laborious work done by hand. An ML engineer is how you get to those long-term wins. You don't need to construct your own AI lab. Begin with a recommendation engine. Or a churn prediction model. And a good engineer can help you plan out small, impactful pilots that scale over time. Conclusion The reality is: AI is advancing faster than most companies can manage. Those who act now will help drive the market – those who wait may get left behind. It's 2025, and hiring a machine learning engineer is not all that unusual. Rather, it's about creating intelligent systems that scale as you do, getting to know your customers better, and enabling the kind of efficiency and insight that sets your business apart. So this is your sign, if you've been on the fence. The future is smart – and now is the time to acquire the people who can help make that future your own. Like this: Like Related
