Finance Data Analyst Industrial Placement

About Griffin Hi, we’re Griffin. We’re a fully regulated UK bank that powers the accounts and payments offerings of product-led fintechs and platforms like Uber, Yonder, Prosper, and Sidekick. By doing the heavy lifting behind the scenes, our customers can focus on what they do best - delivering amazing customer experiences. We’ve grown rapidly since our launch in 2024, and today provide the banking backbone behind products in remittance, payroll, wealth, insurance, proptech, payments, neobanking and more. We’re moving into card issuing, stablecoin infrastructure, and agentic finance next as we continue to support the next generation of product-led companies. Learn more about what we do Our culture We believe that smart, motivated, conscientious people thrive in high-trust, high-autonomy environments and have done our best to create such an environment at Griffin. People who thrive here don’t require much hand-holding, and go out of their way to figure out how to contribute in the most valuable way possible. We've been remote-first since we were established in 2017 and we remain so today. Work here is asynchronous and fully flexible - because we want to be a part of your life in a way that helps you to get the most out of both your work and home life. We understand that our culture and ways of working aren’t for everyone, and we’re very intentional about our hiring process as a result. We won't hire people who don’t seem like a strong fit for our core values, even if they're otherwise extremely qualified. Our strong culture has helped us to remain a mission-driven company as we have scaled, and gives our people a clear, explicit operating framework and the space to focus on delivering real value for our customers. Learn more about our culture. The Team Griffin's Finance team is the engine that keeps a regulated bank running accurately and compliantly. From month-end reporting to audit support, the team manages everything that ensures our financial position is understood, trusted, and acted on. They work closely with every part of the business, translating complex financial data into clear insights that drive decisions — and they're on a mission to make every process sharper, leaner, and smarter. The opportunity This is a rare chance to spend a placement year doing work that genuinely matters. You'll be helping to build and administer Griffin's new data warehouse — the infrastructure that will power how the entire business understands its own performance. Working closely with experienced banking professionals and senior members of the team, you'll apply your studies in a real, fast-moving environment and develop skills in data engineering, financial analysis, and AI-assisted tooling that will set you apart as you begin your career. What success looks like In your placement year, you'll have taken full ownership of the day-to-day administration of our data warehouse, with clean processes and integrations that the Finance team relies on. You'll have built and delivered dashboards that executives use to make real decisions. You'll have brought fresh methods from your studies to improve how we analyse and report on the business — and you'll leave with a clear picture of how a modern bank operates from the inside. To do this, you'll own With our help you will support: Administering and developing Griffin's data warehouse, ensuring it's well-integrated with our existing systems and data feeds Building solutions to interrogate and surface data for analysis and management information across the business Developing dashboards and reporting outputs used by the executive team to understand business performance Supporting the development of our forecasting model and contributing to scenario modelling Applying AI-assisted tooling (including AI-generated code) to push our data capabilities forward Contributing to other finance software and systems projects as your capability develops Your background To ensure this, we're looking for people who have: Studying towards a degree in data science, or a finance-focused degree with modules and/or interest in data science — you'll need a sound grounding in both disciplines A genuine passion for data and how it helps a business make better decisions Strong intellectual curiosity — you enjoy getting to the bottom of a problem and understanding how things work A desire to improve processes and the project management mindset to see changes through Solid proficiency in spreadsheets and a working understanding of how to use AI to write code (e.g. Python) Strong organisational skills and a high degree of attention to detail A love of writing — we have a major amount of written documentation that you will be contributing to, and we place a high degree of importance on clarity and readability (you can find out more here about how we write: https://griffin.com/how-we-write ) Bonus points It's a big bonus if you have: Any previous work experience in financial services Experience using AI too