Job Description
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
We are hiring Data Analysts to join our Collections & Recoveries, Fraud & Financial Crime, and Lending analytics teams.
These roles are ideal for technically strong, curious analysts who enjoy using data and automation to solve real business problems. From improving access to insight, to reducing manual processes, to strengthening operational controls, your work will directly influence how we scale and operate as a bank.
We are recruiting through a single pipeline and will align successful candidates to the team that best fits their skills and the needs of the business.
Role focus areas
Depending on your strengths and interests, you may join one of the following areas:
Collection & Recoveries (C&R) Analytics Enabling better outcomes for customers in financial difficulty through high-quality MI, process efficiency and insight-driven performance analytics.
Fraud & Financial Crime Analytics Supporting effective fraud and financial crime detection and monitoring through the design and delivery of high-quality MI and performance dashboards, alongside robust recurring risk reporting that strengthens control oversight and regulatory confidence.
Lending Analytics
Enabling data-driven decision-making across Lending by designing and delivering high-quality, scalable data assets that support Product, Credit Risk and other key stakeholders. This includes building robust data sources for downstream dashboards and analytical tools, developing automated reporting and monitoring flows, and producing clear documentation to enhance rigour, trust and consistency across deliverables.
All roles include a strong BI and reporting focus, including building scalable datasets, defining metrics and delivering self-serve dashboards that support decision making across the business. While these roles differ in day-to-day focus, they share a strong technical core and a common goal: improving decision making, increasing efficiency and building scalable, data driven solutions.
A day in the life…
- You will work closely with stakeholders across Product, Credit Strategy and Fraud to understand business problems and deliver analytical solutions
- Use SQL to explore data, build structured datasets and deliver repeatable analysis
- Build and maintain dashboards in tools such as Tableau or similar
- Deliver recurring MI and reporting packs for stakeholders
- Identify opportunities to automate manual reporting processes
- Support performance monitoring across operational or risk domains
- Translate business requirements into clear, well documented metrics
- Contribute to improving data quality and reporting standards
About you…
- Experience in a data, BI or analytics role
- Strong SQL skills and confidence working with large datasets. Python is a plus
- Experience with BI tools such as Tableau, Looker or Power BI
- Strong analytical thinking and problem-solving ability
- High attention to detail and focus on data accuracy
- Clear communicator who can explain insights to non-technical stakeholders
- Organised and comfortable managing multiple priorities
- Curious and motivated to improve processes and outcomes
Depending on your role focus:
C&R Operations:
- Experience analysing credit or operational performance metrics
- Interest in improving efficiency and delivering better outcomes for customers in financial difficulty
- Eager to get stuck into a large domain and solve varied problems spanning BI, analytics, process improvement and stakeholder support across Operations
Fraud BI:
- Interest in fraud, financial crime or customer risk.
- Experience supporting monitoring or control reporting.
- Interest in building reusable datasets and scalable reporting.
- Experience with dbt or data modelling.
- Experience with Tableau or other BI tools.
- Strong communication skills - able to present risk MI clearly to senior stakeholders.
Lending BI:
- Curiosity about business use cases and confidence challenging the “why” behind data requests
- Interest in designing reusable, well-modelled datasets that enable scalable, self-serve reporting across Lending
- Experience with dbt and data modelling best practices, including building robust transformations and maintaining clear documentation
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
