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Product Manager, UPL Growth
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 decisioning 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.
A day in the life
- Own a defined area of the UPL growth roadmap, from opportunity sizing through to launch, measurement and iteration.
- Turn commercial and customer signals into a clear product strategy, choosing where to focus and what not to pursue.
- Shape the origination and decisioning experience, including the rules, journeys and data that sit behind a customer receiving a loan offer.
- Lead cross-functional discovery with Engineering, Credit Risk and Data Science to find the most valuable, feasible route to growth.
- Develop propositions that give customers greater clarity and confidence before they invest time in a full application.
- Make the call on scope and sequencing, balancing customer value, risk, commercial return and engineering effort.
- Use data to uncover friction, validate hypotheses and quantify the impact of your work.
- Bring new growth ideas into the roadmap, from smarter use of existing data to new external data sources and partner opportunities.
- Translate complex lending and technical problems into decisions that senior stakeholders can align behind.
- Build, launch and continually improve products that help Zopa move closer to becoming the UK’s leading unsecured lender.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About you
- You are analytically strong and comfortable using data to find non-obvious product insight.
- You have made product decisions that delivered measurable commercial outcomes.
- You can partner closely with engineers through scope and timeline trade-offs.
- You approach ambiguous problems with sound judgement and a bias for practical progress.
- You communicate clearly with senior stakeholders across technical and risk-focused teams.
- You are motivated by growth, efficiency and business impact.
Added bonus
- Experience in lending, consumer credit or related financial products.
- Familiarity with originations, underwriting, pricing or servicing.
- A quantitative foundation through study or equivalent experience.
- Experience in a fast-paced, data-led fintech environment.
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.


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*Subject to having the right to work in the country of choice
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.
Our approach to AI in interviews
At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to 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: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other.
Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.
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