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Zopa is seeking a Product Manager for the Unsecured Personal Loans Growth team in London. You will own parts of the growth roadmap, drive data-informed decisions, and partner with Engineering, Credit Risk and Data Science to improve loan origination and decisioning.
You’ll translate signals into strategy, shape customer journeys, and lead cross-functional discovery to deliver measurable growth while maintaining risk controls. Hybrid work is supported with a London-base requirement.
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.Want to see us in action? Follow us on Instagram @zopalife
The team
Unsecured Personal Loans is one of Zopa’s largest and most established products, sitting at the heart of the bank’s growth ambitions. As a Product Manager in UPL Growth, you will own a meaningful part of how we originate loans: the decisioning, data and product journeys that determine who we can lend to, how confidently we can make an offer, and how simply customers can access one.
This is far more than keeping a mature product moving. You will have the space to identify the biggest opportunities to improve conversion, eligibility and growth, then take them from a commercial hypothesis through discovery and delivery into measurable results. That might mean rethinking how we use third‑party data, improving a partner journey, or changing the rules and logic behind our lending decisions.
You will work in a small, ambitious product team alongside three flexible backend engineering teams, with close partnership from Credit Risk, Data Science and First Line Risk. The work is complex, fast‑moving and consequential: the decisions you shape will directly influence customer outcomes and the scale of Zopa’s lending business.
The work sits closer to commercial and analytical reasoning than to customer discovery — you will spend as much time interrogating data, sizing opportunities and shaping decision‑ing logic as you will running user research. If that sounds like the kind of PM work you are drawn to, this role is built for 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.
*Subject to having the right to work in the country of choice
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.
At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner ofJobs 2030,we'recommitted to building AI fluency across our workforce, and we expectZopiansto use AI as part of how they do their jobs.
Because of that, we want to be transparent about how we think about AI use during our hiring process.
Behavioural and competency-based interviews: pleasedon'tuse AI. These conversations are designed to understandyou— your experiences, your judgment, and howyou'veapproached real situations. An AI-generated answercan'ttell us that.
Technical interviews: it depends on the role.Some technical stages actively welcome AI use,othersdon't.
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