Financial Data Analyst

Lend Invest is the UK’s leading Fin Tech platform for property finance. Over the past 18 years, we have grown from just our two founders to a team of over 200 working to make property finance simple for everyone.

A workplace culture built around trying new things, getting things done, and having fun while we do it has helped us lend more than £9 billion of mortgages, put thousands of new or improved homes into the UK housing market, and successfully launch on the London Stock Exchange. We have big plans to continue growing the business, our products, our technology, and our people.

We operate a hybrid working policy across our business to ensure we offer flexibility that is balanced with in‑person collaboration. Our teams spend three days per week in the office and two days working remotely.

You are a data‑driven problem solver who thrives at the intersection of finance, data, and technology. You don’t just process numbers; you look beyond the spreadsheet to find the commercial story hiding within complex datasets. Whether you are automating a legacy process, stress‑testing a financial model, or presenting insights to senior stakeholders, you bring logical rigour and an agile mindset.

If you are passionate about leveraging advanced Excel, coding, and emerging AI tools to drive smarter business decisions in a fast‑paced environment, we want you on our team.

• Clean, collate, and manipulate large, non‑conventional datasets from multiple sources to produce reliable MI.
• Provide actionable insights and reporting for the Finance team and the wider business.
• Take ownership of the inputs and assumptions required to roll financial models forward.
• Test model outputs, analyse trends to identify areas for improvement, and implement proposed changes.
• Run stress scenarios and analyse the commercial and financial impacts of various outcomes.
• Improve existing finance processes through automation and enhanced reliability.
• Actively research and stay up‑to‑date with the latest financial modelling techniques, advanced Excel features, and practical AI implementations.

• A highly numerate background with a natural aptitude for logical problem‑solving.
• Hands‑on experience working with large, complex, and non‑conventional datasets.
• Previous experience within Financial Services (ideally gained in banking, property lending, or similar environments).
• Advanced MS Excel:
  Exceptional skills including the use of VBA, macros, and process automation.
• Data manipulation:
  Highly competent and efficient at extracting, transforming, and loading data from varied sources.
• Experience using SQL, Python, or Power Query would be beneficial.

• Competitive salary + company bonus scheme
• Hybrid working policy
• 25 days holiday (increasing with the length of service)
• Private healthcare
• Enhanced parental leave
• Matched pension contributions up to 4%
• Critical illness cover
• Employee Assistance Programme & Mental Health support
• Life assurance
• Regular performance reviews to promote a culture of growth and development
• Leadership training for managers
• Give as you earn scheme for charitable donations
• Support for attending conferences and professional learning & development
• Discounts via Perkbox
• Cycle to work scheme
• Yellow Nest Childcare
• Electric car loan scheme
• Monthly socials & annual offsite

At LI we believe in bringing your whole selves to work, we are committed to a culture of belonging where individuals can form a genuine community. We are proud to be an equal opportunities employer and are committed to building a team that represents a variety of backgrounds, perspectives and skills.

We are happy to discuss and implement reasonable adjustments to support candidates throughout the recruitment process.