Our Story   Hello there. We’re Zopa.   We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com!    We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.    If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife

What does an Analyst at Zopa do?

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.”

How will we help you get started?

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:

Intro to Zopa & Technical Skills – get to know Zopa, our products and how we use data, while deepening your technical skills (including SQL and Python)

AI Applications – Learn how analysis using large language models and associated transformer-based architectures is applied to real business problems

Data Science – Develop your data science skills, including building gradient boosted and sequence-based models, and put them into practice in a competition to build the best model to address a real prediction problem

Product Economics – understand the economics behind our product design and lending decisions, and learn techniques for forecasting future value

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.

What teams do Graduate Analysts join at 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:

Take real ownership from day one – using data to investigate problems, test ideas and recommend improvements to our products, customer experience and business performance.

Build your technical skills using cutting edge tools and techniques

Turn data into insights and communicate these to stakeholders across functions and levels

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.

Could you be our next Graduate Analyst?

We’re not expecting you to know everything already. We’re looking for people who are:

Numerically confident – comfortable working with mathematics at A-level complexity

Analytical – able to break down complex challenges, apply logic and make thoughtful judgements

Naturally curious – keen to ask questions, explore data and understand how things could work better

Excited by technology – interested in learning tools such as Python and SQL and exploring how AI is changing the way we work

Ready to Dream Big – curious and ambitious, willing to challenge existing thinking and make progress even when the answer isn’t obvious

Prepared to Own It – willing to take initiative, take responsibility for outcomes and follow things through

Motivated to Win Together – collaborative, open to different perspectives and focused on achieving great outcomes with others

What’s the application and interview process like?

Applications opened on Tuesday, 1st September and will close at 9am UK time Sunday, 25th October.

Once you apply, you will receive a link to complete our online assessments with Aon, our testing…