Senior Product Analyst (AI) in London

Senior Product Analyst (AI) in London

London Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
Zopa

At a Glance

  • Tasks: Drive product innovation by analysing transaction data and designing impactful experiments.
  • Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
  • Benefits: Flexible working, competitive salary, and the chance to work abroad for up to 120 days a year.
  • Other info: Collaborative culture with opportunities for personal growth and development.
  • Why this job: Be part of a dynamic team transforming data into intelligent banking solutions.
  • Qualifications: Strong SQL skills, Python experience, and a passion for AI and data analysis.

The predicted salary is between 60000 - 75000 £ 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.

At Zopa, Analysts are the people who inspire ideas and strategies to drive our business forward and make our products better for customers. Our analysts are a mix of creative problem solvers and number whizzes with a passion for translating numbers into business opportunities and delivering insights to drive decision-making. They're also excellent communicators with the ability to story-tell with data to both technical and non-technical stakeholders. Our analysts are deeply embedded into the business and will interact with individuals at all levels of the business from Managers to our leadership team.

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 using 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

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) in London employer: Zopa

At Zopa, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration. Our vibrant work culture fosters creativity and empowers employees to take ownership of their projects, particularly within our AI Tribe, where you'll have the opportunity to shape the future of finance through data-driven insights. With flexible working arrangements, a commitment to diversity, and a focus on employee growth, Zopa is not just a place to work; it's a place to thrive.

Zopa

Contact Details:

Zopa Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Analyst (AI) in London

Tip Number 1

Network like a pro! Reach out to current or former Zopa employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the AI tribe. Personal connections can give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got experience with SQL or Python, consider creating a small project or analysis that showcases your abilities. Share it during your interview to demonstrate your problem-solving skills and creativity.

Tip Number 3

Prepare to discuss your thought process. Zopa values curiosity and structured thinking, so be ready to explain how you approach ambiguous problems. Use examples from your past work to illustrate how you’ve tackled challenges and driven results.

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 being part of the Zopa team. Let’s make it count!

We think you need these skills to ace Senior Product Analyst (AI) in London

SQL
Python
Data Analysis
Experiment Design
Problem-Solving Skills
Communication Skills
Curiosity

Some tips for your application 🫡

Show Your Curiosity:When you're writing your application, let your natural curiosity shine through! Talk about how you tackle messy data and your passion for understanding the 'why' behind it. We love candidates who are eager to explore and experiment.

Be Clear and Concise:Make sure your application is easy to read and straight to the point. Use clear language to explain your experience with SQL and Python, and how you've used these skills in past roles. Remember, we want to see how you can communicate complex ideas simply!

Highlight Your Problem-Solving Skills:We’re looking for someone who can own ambiguous problems. In your application, share examples of how you've structured broad problems and designed thoughtful experiments. Show us your analytical side and how you approach challenges!

Apply Through Our Website:Don’t forget to apply 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 serious about joining our team at Zopa!

How to prepare for a job interview at Zopa

Know Your Data Inside Out

As a Senior Product Analyst, you'll be dealing with transaction data and AI tools. Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in analysing data and building prototypes.

Show Your Curiosity

Zopa values curiosity, so come prepared with examples of how you've tackled ambiguous problems in the past. Think about times when you've identified issues in data quality or structure and how you approached solving them. This will demonstrate your problem-solving mindset.

Communicate Like a Pro

You'll need to explain complex findings to both technical and non-technical audiences. Practice summarising your past projects in a way that highlights your analytical skills while being accessible. Use storytelling techniques to make your data insights engaging and relatable.

Embrace Collaboration

Zopa's culture thrives on collaboration, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you've partnered with product and engineering teams to implement data-driven improvements, showcasing your ability to work independently while still being a team player.