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Analyst - Fraud Analytics

AnaVation LLC

Greater London

Hybrid

GBP 40,000 - GBP 60,000

Full time

Today
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Job summary

A leading financial technology firm is seeking a Level 10 Fraud Analyst to protect customers and the bank from fraud. Based in London, you will analyze data to detect fraud patterns, investigate anomalies, and collaborate with various teams to enhance fraud controls. Ideal for someone early in their analytics career aiming to build solid foundations. The role supports flexible working and is hybrid, requiring attendance at the London office 2-3 days a week.

Benefits

Flexible working
Work from abroad option

Qualifications

  • Demonstrated analytical curiosity and rigour.
  • Advanced SQL experience.
  • Experience using Python for analysis, or clear willingness to learn.

Responsibilities

  • Monitor fraud dashboards and data across products.
  • Investigate unusual patterns or spikes in activity.
  • Use SQL and Python to explore data and answer urgent questions.

Skills

Analytical curiosity
SQL
Python
Data accuracy
Clear communication
Customer behavior understanding
Job description
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

The Role in a Nutshell

This is one of the most impactful analytics roles at Zopa. As a Level 10 Fraud Analyst, you’ll use data to protect customers and the bank from fraud in real time, while making sure genuine customers experience as little friction as possible.

You’ll sit in the Fraud Analytics team, which acts as the analytical engine behind Zopa’s fraud strategy. The work is fast‑paced, highly visible, and directly influences live decisions that affect customers every day.

Why This Role Exists

Fraud threats evolve constantly. Zopa is scaling its products and customer base, and strong fraud analytics is critical to doing that safely.

This role exists to:

  • Detect and respond to fraud patterns quickly
  • Improve fraud controls across onboarding and transactions
  • Reduce losses while balancing customer experience

You’re not maintaining something mature — you’re helping build and improve fraud decisioning as the team grows.

What You’ll Actually Be Doing Day to Day
  • Monitoring fraud dashboards and data across products
  • Investigating unusual patterns or spikes in activity
  • Using SQL and Python to explore data and answer urgent questions
  • Designing, testing, and improving fraud rules and controls
  • Feeding real‑time analytical insight into fraud blocks and interventions
  • Working closely with Fraud Strategy, Operations, Product, and Engineering
What Success Looks Like as a Zopa Analyst, it's about strong foundations:
  • Producing accurate, well‑structured analysis
  • Explaining not just what the numbers say, but why they matter
  • Taking ownership of your work and asking good questions early
  • Communicating clearly with more senior stakeholders
  • Beginning to connect analysis to real customer outcomes
  • You’re not expected to know everything about fraud on day one — curiosity, learning speed, and analytical rigour matter more.
What are we looking for?
  • Demonstrated analytical curiosity and rigour
  • Advanced SQL experience
  • Experience using Python for analysis, or clear willingness to learn
  • A passion for data accuracy and analytical rigour
  • Ability to explain analytical thinking clearly to non‑technical audiences
  • Curiosity about customer behaviour and how fraud manifests in data
Interview Stages – What to Expect
  • 1. Recruiter Screening (30 mins)
    Focus: motivation, problem‑solving mindset, technical background, and interest in fraud analytics.
  • 2. SQL Technical Assessment (1 hour)
    Focus: writing clean, accurate SQL
  • 3. Fraud Analytics Case Study (1 hour)
    Focus: how you approach a fraud problem end‑to‑end. No prior fraud experience required — we’re testing thinking, structure, and communication.
  • 4. Final Interview (45 mins)
    Focus: competencies, collaboration, decision‑making under pressure, and alignment with Zopa’s values.

This role is ideal for someone early in their analytics career who wants to build strong technical foundations while working on meaningful, highimpact problem. We look forward to hearing from 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

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.

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