Zopa4mo ago

Senior Analyst (Data and Process controls)

United Kingdom·London,LondonEmployee - Permanentsenior

OtherAnalyst

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Quick Summary

Overview

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.

Technical Tools

pythonsqlfintech

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. Want to see us in action? Follow us on Instagram @zopalife

Zopa's Analytics teams are building new automated ways to find the problems that impact customers and the bank and stop them before they spread. Leveraging analytics, automation and AI-enabled tooling, we’re moving away from manual controls towards scalable automated systems and controls that can proactively detect problems and improve customer outcomes.

This is a new and highly visible area for Zopa, with strong backing from senior leadership and real opportunity to shape how analytics, automation and AI are used to solve real business problems. You’ll work across Product, Analytics, Engineering and Risk to understand how processes actually work, where data lives, and how we can turn messy operational processes into scalable automated solutions and controls. Banking is the business of risk management - put yourself at the heart of it and join us on the journey to unleashing the power of cutting edge technologies in this business critical area!

The first focus will be lending products, including customer statements and related communications, with scope to expand into other product areas over time.

You’ll speak to stakeholders across the business to understand processes that may not be fully documented

Investigate how data moves through systems and work out what needs to be monitored, validated or automated

Use SQL, Python and AI-enabled tools to build scalable automated solutions that were previously unimageable, like our cutting edge AI tool that ensures we identify and protect our vulnerable customers.

Partner with Product and Engineering teams to understand system architecture and support implementation

Help improve the quality, reliability and scalability of how we identify and prevent operational issues

Shape a new capability at Zopa, creating approaches and patterns that can be reused as the function grows

Degree or equivalent experience in a STEM field or similar

Highly curious, with a strong instinct to dig deeper and understand how systems, processes and data flows work

Comfortable working in ambiguous environments where problems are not fully defined

Strong logical thinking and problem-solving skills, with a practical and structured approach

Strong communication and stakeholder skills, with the confidence to ask good questions and challenge assumptions

A proactive mindset with examples of taking ownership and driving work forward independently

Exposure to SQL, Python or similar analytical tooling, or strong evidence of the aptitude to learn quickly

Excited by automation, AI and using technology to solve real business problems

Added bonus:

Experience in operations, consulting, fintech or other fast-moving environments

Experience using AI tools to solve real problems, with the ability to critically assess outputs rather than accept them at face value

Personal projects, courses or other examples that demonstrate coding curiosity or technical learning

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 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.