Data Analyst (Fraud Detection)

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!

We’re looking for a curious and analytical Fraud Detection Analyst to join our global Fraud & Investigations team. You’ll analyse data, spot patterns, and write detection rules that help stop fraud in its tracks — playing a vital role in protecting consumers, businesses, and the integrity of our platform.

You’ll work on complex, often ambiguous challenges in the ever-evolving world of online trust. If you love solving problems, diving into data, and making a real difference - this is your chance.

You’ll be joining a collaborative, inquisitive team that values transparency, fairness, and a good sense of humour. As part of the wider Trust & Transparency team, we’re driving change across the business—and working to make Trustpilot the universal symbol of trust online.

What you'll be doing

Hunt for novel fraud on the platform, form hypotheses about how bad actors operate, then prove or disprove them in data that rarely offers a clean answer.

Invent detection logic from scratch: design the features, criteria, and thresholds that separate fraudulent behaviour from the millions of legitimate reviews it hides among.

Engineer that logic into production grade detection rules in SQL, carefully structured, logically sound, and built to keep working as fraudsters adapt.

Own the false positive problem. Every rule you write can affect real people and businesses, so you'll obsess over precision as much as coverage, building in the exclusions and safeguards that protect legitimate users.

Investigate escalated cases of platform misuse, and assist with media, legal, and customer inquiries.

Partner with data scientists to sharpen our detection approaches,