Zopa · London
Sales & BusinessCAO GeneralHybridEmployee - Permanentposted 10d ago
At Zopa, our Analysts don’t just analyse the business – they help shape it.
From designing our products and customer experiences, to deciding our lending criteria and target markets, our Analysts are at the heart of every major decision we make.
You’ll combine creative problem solving with strong numerical and communication skills, turning data into insights and ideas into real-world impact. You’ll have meaningful ownership from the start, while learning from talented colleagues across the business.
It’s no surprise we’re one of the UK’s 100 Most Loved Workplaces. But don’t just take our word for it – hear from some of our recent grads:
“You’re surrounded by smart, driven, and insightful people, with whom you are always facing an engaging challenge – there are no boring days here.”
“Zopa has broken every negative stereotype I had of working at a bank. As a company it is always pushing new boundaries, and as an individual you are constantly encouraged to innovate.”
“I love how you start with a group of graduates from diverse backgrounds at the same time, and Zopa strikes a great balance between challenging you and setting you up for success.”
You don’t need to arrive knowing every tool or technique! Your first four months will include a structured graduate training programme designed to give you a broad foundation across Analytics at Zopa. You’ll rotate through four placements and complete a project for each, giving you the chance to apply your learnings to real business problems. We make extensive use of AI-tools (both generic foundation models and skills developed locally) in all our work including knowledge discovery, code development, and task automation. Training in relevant AI tool use is also part of each of the placements:
Together, these placements provide broad training in the tools, concepts and business context used across our Analytics teams, preparing you to join any of the analyst teams within Zopa.
After completing our training programme, you'll join one of our teams. As you grow, you'll have opportunities to explore new projects and internal moves. You can expect to:
You'll learn more about each area of Analytics at Zopa throughout our hiring process and training programme. To give you a flavour of the different opportunities…
Credit Strategy 🎯
Shape the lending decisions that drive Zopa’s growth and profitability. You will develop, model and test lending strategies, explore how changes affect customers and commercial performance, and help turn analysis into real lending decisions.
Product Analytics 📊
Build insight and recommendations that drive product decisions, prioritisation and strategy. You will run in-depth analysis, design tests, monitor performance, and build self-serve tools to enable others in their work (for example, conversational analytics).
Data Science 🧪
Design and deploy cutting-edge predictive models that power Zopa’s products and decisions. You will be pushing boundaries in both the data sources and techniques that you apply to some of our most challenging problems, taking ideas from the experimentation stage through to production deployment.
Technology ⚙️
The roles of Zopians in our Technology teams are varied and rapidly evolving as the power of the tools we use to support building, testing, and deploying software grow more powerful. We have exciting opportunities across a broad set of disciplines including software engineering, data engineering, analytic engineering, information security, and technology delivery.
Risk Lab 🤖
The management of risk is an area where we see huge potential benefit from the application of large language models and associated deep learning techniques. You will apply your analytic skills to a wide range of challenges from across the business such as customer experience, financial crime, diagnosing technology incidents, and much more.
We’re not expecting you to know everything already. We’re looking for people who are:
These roles may be best suited to 2026 and 2027 graduates who are ready to start in February or September 2027. If you’ve already graduated and have a few years of experience, look out for our additional experienced roles on our careers page!
At Zopa we value flexible ways of working.
We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week.
You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.
*Subject to having the right to work in the country of choice
Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Our approach to AI in interviews
At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs.
Because of that, we want to be transparent about how we think about AI use during our hiring process.
Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other.
Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.