This is an opportunity to join a high-performing finance function at a fast-scaling UK fintech where data sits at the heart of commercial decision-making. You will work closely with senior stakeholders on business-critical reporting and analysis, gaining exposure to complex funding structures and the full lifecycle of consumer lending. The role offers genuine scope to influence how financial data is used across the organisation and to progress as the business continues to grow.
The Company
They are an established and rapidly growing financial services business operating in the consumer lending space. With a strong market presence and ambitious growth plans, they combine a data-led approach with a collaborative, people-focused culture. The organisation is well-funded, commercially sophisticated, and known for giving teams ownership and visibility across the business. Their scale means you get variety and impact, without losing the agility of a smaller environment.
The Role
- Analyse and report on financial data relating to funding, asset performance, and transactions such as sales and securitisations.
- Build, maintain, and improve a robust reporting suite to support senior leadership and cross-functional teams.
- Deliver ad hoc analysis to answer commercial and strategic questions across the business.
- Use SQL extensively to extract, transform, and analyse data from core financial systems.
- Partner with stakeholders across finance and the wider business to clearly communicate insights and performance drivers.
Your Skills and Experience
- Strong commercial experience within financial services, ideally in lending, fintech, or banking environments.
- Advanced SQL skills with the ability to work confidently with large, complex datasets.
- Proven experience in financial reporting and data analysis that supports decision-making.
- Confidence communicating insights to non-technical stakeholders, including senior leaders.
- Exposure to funding structures, capital markets, or securitisation is advantageous but not essential.
- Experience with BI tools and data visualisation is beneficial, with QuickSight considered a plus.
- Python experience is welcome but not required.
What They Offer
- Hybrid working with three days per week in their London office near Waterloo.
- Bonus, pension and private medical
- A clear pathway for progression within a growing finance and data function.
- The chance to work on high-impact projects with strong visibility at leadership level.
- A supportive, inclusive culture that values curiosity, ownership, and development.
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