Finance Data Analyst Industrial Placement 2026

Finance Data Analyst Industrial Placement 2026

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.

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

Bonus points

It's a big bonus if you have:

• Any previous work experience in financial services
• Experience using AI tools to manage or transform data (though we're more interested in your appetite to learn than any specific tool knowledge)
• Familiarity with Google Workspace, particularly Google Sheets

What can we offer you?

We are an early stage startup and we're working hard to expand our benefits package. We're planning to add to this list in the future.

• Start date: Summer 2026
• Salary: £25,000
• Remote-first flexibility: Work from anywhere in the UK
• Work from abroad: Up to 20 days a year
• Time off: 25 days’ holiday, bank holidays and a winter break (we shut down between Christmas and New Year)
• Pension: Auto-enrolment into our Penfold scheme
• Insurance: Private medical with Bupa (including family cover) and life insurance with AIG
• Wellbeing: 1:1 coaching and therapy session available through Oliva
• AI tools: Everyone has a Claude subscription on us and access to other premium tools
• Your setup: We’ll support you in creating a comfortable and effective WFH environment.

We’re remote-first

We trust people to do great work wherever they are. We hire across the UK and most of our team works remotely full-time. We have a small London office in Moorgate for those who want it, and about a third of the company is close enough to use it occasionally, but there's no expectation to be there. What matters is the work, not where you do it.

Under representation

Our goal is for Griffin to proportionally represent the diversity of the working population in society. We’re working to ensure that Griffin is a supportive, empowering and inclusive environment for every member of our team — whatever your combination of race, ethnicity, gender, age, sexual orientation, physical ability, nationality, neurodiversity, and religious beliefs. If you’re part of a group that is under-represented in fintech, we’d love to hear from you.

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.