At a Glance
- Tasks: Own ambiguous problems and design experiments to improve transaction data.
- Company: Join Zopa's innovative AI Tribe transforming data into intelligent products.
- Benefits: Flexible working, hybrid model, and the option to work abroad for 120 days a year.
- Other info: Collaborative culture with a focus on diversity and personal growth.
- Why this job: Make a real impact on how data is enriched and structured in a fast-paced environment.
- Qualifications: Strong SQL skills, Python experience, and a curious mindset for data exploration.
The predicted salary is between 60000 - 80000 £ per year.
The role We’re looking for a Senior Product Analyst to join our AI tribe. This is a builder-style role focused on improving how transaction data is enriched, structured and trusted – and on raising the bar for how we experiment and learn. This role is about owning ambiguous problems, designing thoughtful experiments, and pushing systems forward through curiosity and disciplined analysis of the outcomes.
About the AI Tribe The AI Tribe sits at the heart of how Zopa turns data into intelligent products. We build and evolve the capabilities that transform raw transaction data, Open Banking data, and other behavioural signals into reliable, structured intelligence. A core focus of the tribe is transaction intelligence – how raw transaction data is enriched, categorised, structured, and made usable across the business. This includes merchant and category enrichment, data quality and consistency, and ensuring transaction data integrates cleanly into our broader data models. As we move toward more AI-first ways of working, the tribe is also rethinking how transaction data should be accessed and used – not just by analysts and product teams, but by AI systems and LLM-powered tools. The work is foundational and long-term in nature: improving systems, shaping strategy, and building capabilities that compound in value over time.
A day in the life…
- Explore the current enrichment pipeline to understand how it works and where it fails
- Form hypotheses about where accuracy is breaking down (e.g. merchant ambiguity, edge cases, new patterns)
- Write code (typically SQL and/or Python) to analyse performance, quantify what’s working, and identify systematic gaps
- Build quick prototypes or enrichment experiments to test alternative approaches
- Run structured evaluations, interpret results carefully, and communicate trade‑offs clearly
- Work closely with Product and Engineering to embed improvements into long‑term system design
- Use AI and LLM tools pragmatically for exploration, pattern detection, prototyping logic and accelerating experimentation
- Continuously look for deeper patterns and structural improvements rather than settling for surface‑level fixes
About you… You’re naturally curious. When you see messy or imperfect data, you want to understand why. You’re also curious about modern AI and LLM tools and have experimented with building things with them, at work or as personal projects. Comfortable being given a broad problem and figuring out how to structure it. You enjoy forming hypotheses, writing code to test them, and interrogating results deeply. Strong SQL skills and ideally experience using Python for exploratory analysis or prototyping. You’ve worked in a data‑led, fast‑paced environment (e.g. fintech, banking, start‑up, consulting). Ability to communicate clearly and can explain complex findings to both technical and non‑technical audiences. You’re collaborative but independent – you don’t wait to be told the next step.
Working arrangements 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 Product Analyst (AI) employer: Zopa
At Zopa, we pride ourselves on being an exceptional employer that fosters a culture of curiosity and innovation within our AI Tribe. Our flexible working arrangements, including the option to work from abroad for up to 120 days a year, promote a healthy work-life balance while encouraging collaboration in our vibrant London office. With a strong commitment to diversity and inclusion, we empower our employees to bring their authentic selves to work, ensuring meaningful growth opportunities and a supportive environment for all.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst (AI)
✨Tip Number 1
Get to know the company inside out! Research Zopa's AI tribe and understand their mission. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your storytelling skills. When discussing your past experiences, focus on how you tackled ambiguous problems and the impact of your work. We want to hear about your curiosity and how you’ve used data to drive decisions.
✨Tip Number 3
Don’t shy away from asking questions during interviews. Show your curiosity by inquiring about the challenges the AI tribe is currently facing or how they envision the future of transaction intelligence. It’s a great way to demonstrate your engagement!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re proactive and keen to be part of our team at Zopa.
We think you need these skills to ace Senior Product Analyst (AI)
Some tips for your application 🫡
Show Your Curiosity:In your application, let us see that natural curiosity of yours! Talk about how you've tackled messy data in the past and what you learned from it. We love candidates who dive deep into problems and come up with innovative solutions.
Highlight Your Technical Skills:Make sure to showcase your SQL and Python skills clearly. Share specific examples of how you've used these tools to analyse data or build prototypes. We want to know how you’ve applied your technical know-how in real-world scenarios!
Communicate Clearly:Remember, we need someone who can explain complex findings to both techies and non-techies. Use your application to demonstrate your communication skills. Maybe include a brief example of how you’ve done this in the past!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Zopa
✨Understand the Role Inside Out
Before your interview, dive deep into the job description. Familiarise yourself with the key responsibilities and skills required for the Senior Product Analyst role. Think about how your past experiences align with the tasks mentioned, especially around data enrichment and analysis.
✨Showcase Your Curiosity
This role is all about curiosity and problem-solving. Be prepared to discuss specific examples where you've tackled ambiguous problems or explored messy data. Highlight your thought process and how you approached these challenges, as this will resonate well with the interviewers.
✨Demonstrate Technical Proficiency
Brush up on your SQL and Python skills before the interview. You might be asked to solve a coding problem or discuss your previous projects involving these languages. Be ready to explain your code and the reasoning behind your choices, as clear communication is key.
✨Prepare for Collaboration Questions
Since the role involves working closely with Product and Engineering teams, think of examples that showcase your collaborative spirit. Be ready to discuss how you've worked independently while also contributing to team goals, as this balance is crucial in a fast-paced environment like Zopa.
