Fraud & Lending BI Analyst – Build Self-Serve Dashboards

Fraud & Lending BI Analyst – Build Self-Serve Dashboards

Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Zopa Bank

At a Glance

  • Tasks: Create self-serve dashboards and analyse data to solve real business problems.
  • Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Diverse and inclusive workplace with excellent career development opportunities.
  • Why this job: Make a real impact in finance while working with cutting-edge technology.
  • Qualifications: Strong SQL skills and experience with BI tools like Tableau or Power BI.

The predicted salary is between 50000 - 60000 £ per year.

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.

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.

We are hiring BI Analysts to join our Fraud & Financial Crime and Lending analytics teams. These Level 10 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.

Role Focus Areas:

  • 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.

Both 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 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 BI Analytics role.
  • Strong SQL skills and confidence working with large datasets. Python is a plus.
  • Experience with dbt or data modelling (such as building robust transformations and maintaining clear documentation).
  • Experience with BI tools such as Tableau, Looker or Power BI.
  • Experience building and maintaining data pipelines (e.g. transforming raw or semi-structured data into reliable, production-ready datasets).
  • Interest in building reusable datasets and scalable reporting.
  • Strong analytical thinking and problem-solving ability.
  • High attention to detail and focus on data accuracy.
  • Strong communication skills, and able to 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:

  • Fraud BI: Interest in fraud, financial crime or customer risk. Experience supporting monitoring or control reporting. 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.

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.

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.

Fraud & Lending BI Analyst – Build Self-Serve Dashboards employer: Zopa Bank

At Zopa, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration in the finance sector. Our vibrant work culture fosters personal growth and creativity, offering employees the chance to tackle unconventional challenges while enjoying flexible working arrangements, including the option to work from abroad for up to 120 days a year. Join us in our London office, where you'll be part of a diverse team dedicated to redefining banking and making a meaningful impact every day.

Zopa Bank

Contact Details:

Zopa Bank Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fraud & Lending BI Analyst – Build Self-Serve Dashboards

Tip Number 1

Network like a pro! Reach out to current Zopa employees on LinkedIn, ask them about their experiences, and see if they can give you the inside scoop on the company culture. A personal connection can really help your application stand out.

Tip Number 2

Prepare for the interview by brushing up on your SQL skills and familiarising yourself with BI tools like Tableau. Be ready to discuss how you've used data to solve real business problems in the past—Zopa loves candidates who can think analytically!

Tip Number 3

Show off your curiosity! During interviews, ask insightful questions about Zopa's approach to fraud detection or lending analytics. This not only shows your interest but also demonstrates that you're already thinking about how you can contribute.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Zopa team.

We think you need these skills to ace Fraud & Lending BI Analyst – Build Self-Serve Dashboards

SQL
Data Analysis
Dashboard Development
Tableau
Data Modelling
Python
BI Tools

Some tips for your application 🫡

Show Your Passion for Data:When you're writing your application, let us see your enthusiasm for data and analytics shine through! Share specific examples of how you've used data to solve problems or improve processes in your previous roles.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the BI Analyst role. Highlight relevant skills like SQL, dashboard building, and any experience with BI tools. We want to see how your background aligns with what we're looking for!

Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, especially when it comes to your achievements and skills!

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Zopa Bank

Know Your SQL Inside Out

Since this role heavily relies on SQL, make sure you brush up on your skills. Be prepared to discuss how you've used SQL in past projects, and maybe even practice some common queries beforehand. This will show that you're not just familiar with the language but can also apply it effectively.

Showcase Your Dashboard Skills

Familiarise yourself with tools like Tableau or Power BI, as these are crucial for the role. Bring examples of dashboards you've built or worked on, and be ready to explain the thought process behind your designs. This will demonstrate your ability to create impactful visualisations that aid decision-making.

Understand the Business Context

Zopa is all about redefining finance, so take some time to understand their mission and values. Think about how your analytical skills can contribute to their goals, especially in fraud detection and lending analytics. This will help you align your answers with what they’re looking for.

Prepare for Problem-Solving Questions

Expect questions that assess your analytical thinking and problem-solving abilities. Prepare a few examples where you've tackled complex data issues or improved processes. Highlight your attention to detail and how you ensure data accuracy, as these are key traits for the role.