Job Title: Qualified FP&A Analyst
About Lovey
Join One of the UK's Fastest-Growing Finance Companies
Lovey (formerly Love Finance) is a fast-growing UK SME lender and broker, founded in 2016 with a simple goal: to make business lending simple and fast. Since then, we've funded more than £500 million in loans for over 10,000 SMEs across the UK. We've been recognised by organisations including EY, Deloitte, The Sunday Times, Financial Times, UK Growth Index, FeBe and Sifted as one of the UK's fastest-growing companies
Requirements
The Role
We’re looking for a qualified accountant (ACA/ACCA/CIMA) who can go beyond traditional FP&A. This role sits at the intersection of Finance and Data, acting as a key bridge between teams to improve how we use data, systems, and financial insight to drive the business forward.
You’ll combine strong financial discipline with a hands-on approach to data and systems, helping us scale reporting, forecasting, and decision-making capabilities.
Key Responsibilities:
Own and evolve budgeting, forecasting, and reforecasting processes
Deliver actionable insights on revenue performance, broker activity, and deal economics
Partner with CCO to understand pipeline, conversion, and profitability drivers
Build robust financial models to support growth and funding strategy
Act as the key link between Finance and Data teams
Define finance requirements for dashboards, reporting, and data models
Improve visibility on key metrics (e.g., deal flow, commissions, lender performance)
Support development of scalable reporting via BI tools - ThoughtSpot
Streamline and automate manual reporting and reconciliation processes
Improve speed and accuracy of month-end and reporting cycles
Help implement or optimise FP&A / finance systems as the business grows
Skills & Experience
Qualified accountant (ACA / ACCA / CIMA)
Strong FP&A experience in a commercial or high-growth environment
Solid understanding of financial control, P&L drivers, and cash flow
Experience working with finance systems and reporting tools
Ability to partner effectively with non-finance stakeholders
Comfortable working with large datasets and multiple data sources
Experience with BI tools (Power BI, Tableau, Looker, etc.)
Ability to translate finance needs into data/technical requirements
Nice to Have
Experience in lending, fintech, or brokerage environments
Exposure to SQL, Python, or data modelling concepts
Experience working with CRM or deal pipeline data (e.g. HubSpot)