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For Companies At a Glance
- Tasks: Monitor fraud data, investigate patterns, and improve fraud controls using SQL and Python.
- Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by protecting customers from fraud in a fast-paced environment.
- Qualifications: Analytical mindset, advanced SQL skills, and a passion for data accuracy.
- Other info: Diverse team culture with opportunities to work abroad for up to 120 days a year.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
The Role in a Nutshell
This is one of the most impactful analytics roles at Zopa. As a Level 10 Fraud Analyst, you’ll use data to protect customers and the bank from fraud in real time, while making sure genuine customers experience as little friction as possible. You’ll sit in the Fraud Analytics team, which acts as the analytical engine behind Zopa’s fraud strategy. The work is fast-paced, highly visible, and directly influences live decisions that affect customers every day.
Why This Role Exists
- Fraud threats evolve constantly.
- Zopa is scaling its products and customer base, and strong fraud analytics is critical to doing that safely.
This Role Exists To:
- Detect and respond to fraud patterns quickly
- Improve fraud controls across onboarding and transactions
- Reduce losses while balancing customer experience
You’re not maintaining something mature — you’re helping build and improve fraud decisioning as the team grows.
What You’ll Actually Be Doing Day To Day:
- Monitoring fraud dashboards and data across products
- Investigating unusual patterns or spikes in activity
- Using SQL and Python to explore data and answer urgent questions
- Designing, testing, and improving fraud rules and controls
- Feeding real-time analytical insight into fraud blocks and interventions
- Working closely with Fraud Strategy, Operations, Product, and Engineering
What Success Looks Like as a Zopa Analyst:
- Producing accurate, well-structured analysis
- Explaining not just what the numbers say, but why they matter
- Taking ownership of your work and asking good questions early
- Communicating clearly with more senior stakeholders
- Beginning to connect analysis to real customer outcomes
You’re not expected to know everything about fraud on day one — curiosity, learning speed, and analytical rigour matter more.
What are we looking for?
- Demonstrated analytical curiosity and rigour
- Advanced SQL experience
- Experience using Python for analysis, or clear willingness to learn
- A passion for data accuracy and analytical rigour
- Ability to explain analytical thinking clearly to non-technical audiences
- Curiosity about customer behaviour and how fraud manifests in data
Interview Stages – What To Expect:
- Recruiter Screening (30 mins) – Focus: motivation, problem-solving mindset, technical background, and interest in fraud analytics.
- SQL Technical Assessment (1 hour) – Focus: writing clean, accurate SQL
- Fraud Analytics Case Study (1 hour) – Focus: approach to a fraud problem end-to-end. No prior fraud experience required — we’re testing thinking, structure, and communication.
- Final Interview (45 mins) – Focus: competencies, collaboration, decision-making under pressure, and alignment with Zopa’s values.
This role is ideal for someone early in their analytics career who wants to build strong technical foundations while working on meaningful, high-impact problems. We look forward to hearing from you!
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.
Data Analyst - Fraud Analytics employer: Zopa Bank
Contact Detail:
Zopa Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Fraud Analytics
✨Tip Number 1
Get to know Zopa! Research their values and culture so you can show how you fit in. When you understand what makes them tick, you can tailor your conversations to resonate with their mission.
✨Tip Number 2
Practice your SQL and Python skills before the technical assessment. Use online resources or mock tests to sharpen your abilities. The more confident you are, the better you'll perform!
✨Tip Number 3
Prepare for the case study by thinking through potential fraud scenarios. Consider how you'd approach them analytically. This will help you demonstrate your problem-solving mindset during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Zopa team.
We think you need these skills to ace Data Analyst - Fraud Analytics
Some tips for your application 🫡
Show Your Analytical Curiosity: When you're writing your application, let us see your passion for data! Share examples of how you've explored data in the past and what insights you uncovered. We love candidates who are curious and eager to learn.
Tailor Your Application: Make sure to customise your application to highlight your SQL and Python skills. Mention specific projects or experiences that relate to fraud analytics. This shows us you understand the role and are genuinely interested in joining our team.
Communicate Clearly: Remember, we want to see how well you can explain complex ideas. Use clear language in your application to describe your analytical thinking. If you can make it understandable for non-technical folks, you’re on the right track!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Zopa Bank
✨Know Your SQL Inside Out
Since the role requires advanced SQL skills, make sure you brush up on your SQL knowledge before the technical assessment. Practice writing clean and efficient queries that can handle real-world data scenarios. Familiarise yourself with common functions and techniques that are often used in fraud analytics.
✨Show Your Analytical Curiosity
Zopa values analytical curiosity, so be prepared to discuss how you've approached problem-solving in the past. Think of examples where you've investigated unusual patterns or made data-driven decisions. This will demonstrate your ability to think critically and your passion for understanding customer behaviour.
✨Communicate Clearly and Effectively
During the interviews, especially when discussing your case study, focus on explaining your thought process clearly. Remember, you might be talking to non-technical stakeholders, so practice breaking down complex concepts into simple terms. This will show that you can connect analysis to real customer outcomes.
✨Embrace the Unconventional
Zopa is looking for candidates who aren't afraid to think differently. Prepare to discuss how you've tackled unconventional challenges in your previous roles or studies. Highlight your willingness to learn and adapt, as this aligns perfectly with Zopa's innovative culture.
