At a Glance
- Tasks: Use data to combat fraud and protect customers in real-time.
- Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
- Benefits: Enjoy flexible working, competitive pay, and opportunities for growth.
- Other info: Be part of a diverse team that values collaboration and innovation.
- Why this job: Make a real impact in a fast-paced environment while developing your analytical skills.
- Qualifications: Experience in SQL and Python, with a knack for solving complex problems.
The predicted salary is between 55000 - 65000 € per year.
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.
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
- 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. We are looking for a Senior Fraud Analyst to join our growing Fraud Analytics team at Zopa. This role plays a critical part in protecting our customers and the business from fraud, using data, analytics and judgement to drive real‑time and strategic decisioning. You will lead complex fraud analysis independently, support incident response, and act as a senior analytical escalation point within the team.
A day in the life
- Acting as a senior point of escalation during fraud incidents, supporting prioritisation and decision making
- Leading end‑to‑end fraud analysis using SQL and Python to detect, investigate and mitigate fraud risks
- Taking real‑time analytical input into fraud blocks, controls and interventions
- Optimising fraud rules and supporting the monitoring of machine learning models
- Improving onboarding and account‑level controls to prevent bad actors entering the ecosystem
- Creating and maintaining fraud reporting and dashboards using Tableau
- Working closely with Fraud Strategy, Fraud Operations, Product and Engineering teams
- Supporting the Fraud Analytics Manager as a senior individual contributor and trusted partner
- Participating in the on‑call rota, typically one week per month, supporting out‑of‑hours fraud incidents with additional pay
About you
- Analytical experience with advanced SQL
- Python experience for data analysis
- Proven ability to own complex, ambiguous analytical problems end‑to‑end
- Experience translating analysis into clear, actionable recommendations
- Confidence working with senior stakeholders in a fast‑paced environment
- Ability to remain calm and make sound decisions under pressure
- Experience in fraud, financial crime or risk analytics is a plus
- Exposure or an interest in fraud decisioning systems or real‑time monitoring tools
- Prior experience in using live decisioning systems or working with machine learning models
- Background in Fraud/ Fincrime (or similar setting)
- Fintech, banking or high‑growth tech environments would be ideal
Interview Stages
- Recruiter Screening (30 mins) Focus: motivation, problem‑solving mindset, technical background, and interest in fraud analytics.
- SQL Technical Assessment (1 hour Zoom) Focus: writing clean, accurate SQL
- Fraud Analytics Case Study (1 hour Zoom) Focus: how you approach a fraud problem end‑to‑end. No prior fraud experience required — we’re testing thinking, structure, and communication.
- Final Interview (1 hour in‑office) Focus: competencies, collaboration, decision‑making under pressure, and alignment with Zopa’s values.
This role is ideal for someone looking for the next step in their analytics career, who wants to continue to build strong technical skills 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.
Senior Data Analyst - Fraud & Financial Crime employer: Zopa
At Zopa, we pride ourselves on being a forward-thinking employer that champions innovation and inclusivity in the finance sector. Our vibrant London office fosters a collaborative work culture where employees are empowered to tackle meaningful challenges while enjoying flexible working arrangements, including the option to work abroad for up to 120 days a year. With a strong focus on professional growth and a commitment to diversity, Zopa is not just a place to work, but a community where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Fraud & Financial Crime
✨Tip Number 1
Get to know Zopa! Dive into their website and social media to understand their culture and values. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice your SQL and Python skills before the technical assessment. Use online resources or mock tests to brush up on your coding abilities. Being sharp on these will give you a solid edge when it comes to demonstrating your analytical prowess.
✨Tip Number 3
Prepare for the case study by thinking through how you would approach fraud problems. Break down your thought process and be ready to communicate your ideas clearly. This is your chance to showcase your analytical mindset and problem-solving skills!
✨Tip Number 4
Don’t forget to highlight your experience with real-time monitoring tools or machine learning models if you have any. Even if you don’t have direct experience, showing enthusiasm and a willingness to learn can go a long way in impressing the interviewers.
We think you need these skills to ace Senior Data Analyst - Fraud & Financial Crime
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data analytics shine through! We want to see how your experience aligns with our mission at Zopa, especially in tackling fraud and financial crime. Make it personal and relatable!
Tailor Your CV and Cover Letter:Don’t just send a generic CV! Take the time to tailor your application to the Senior Data Analyst role. Highlight your SQL and Python skills, and any relevant experience in fraud analytics. We love seeing how you can make an impact here at Zopa.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex analytical problems!
Apply Through Our Website:Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining the Zopa team!
How to prepare for a job interview at Zopa
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills by working through some real-world data problems or projects that showcase your analytical abilities.
✨Understand Fraud Analytics
Familiarise yourself with common fraud patterns and the tools used to combat them. Even if you don't have direct experience, showing that you've researched fraud analytics and can discuss its importance will impress the interviewers.
✨Prepare for Case Studies
Practice how you would approach a fraud problem from start to finish. Think about how you'd structure your analysis and communicate your findings clearly. This will be key during the Fraud Analytics Case Study stage.
✨Align with Zopa's Values
Zopa values unconventional thinking and customer-centric approaches. Be ready to share examples of how you've embraced challenges and made impactful decisions in your previous roles, demonstrating that you fit their culture.
