Finance Adviser in London

You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech – and we're just getting started. About the RoleAs an Associate in Strategic Finance, you'll focus on turning financial and commercial data into clear insight - enabling leadership to deeply understand our business and the drivers of performance. You'll partner with Data Engineering, Finance and cross-functional stakeholders, and build analytical workflows to support fast and data-driven decision-making. What You'll Be DoingAnalyse commercial and business performance - evaluating the full P&L and measuring ROI in order to help the business assess where it is creating value. Translate ambiguous requests from leadership, Finance and cross-functional stakeholders into clear, decision-ready insights. Leverage AI tooling as a force multiplier to build and automate reusable analytical workflows that enable your stakeholders to quickly understand performance. Collaborate directly with Data Engineering and Data Science to support the development and enhancement of our core financial data models, and the context layer that enables AI agents to leverage that data. You will be empowered to work directly with Finance and Data partners to scope requirements and deliver initiatives end-to-end. What We Look ForEssential CriteriaYou'll have 3+ years of relevant experience in data-driven and analytical roles, and hold a bachelor's or master's degree in a quantitative or business discipline. Commercial curiosity: you want to dive into the details to understand how merchant, product, and commercial dynamics affect financial performance. Confidence with data tools: You have strong spreadsheet skills and experience with BI tooling and data platforms, or demonstrate a clear aptitude and willingness to learn. Python and SQL experience is a plus. Exceptional attention to detail: you rigorously validate data, pressure-test assumptions, and transparently communicate analytical limitations. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.