Fraud Detection Analyst

<div class="content-intro"><p>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!</p></div><p>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.</p> <p>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.</p> <p>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.</p> <p><strong>What you’ll be doing:</strong></p> <ul> <li>Identify fraud trends and develop a deep understanding of fraudulent behavior on our platform through the use of SQL, Google BigQuery, and Google Looker.</li> <li>Formulate rules based on your analysis to mitigate fraudulent behavior across our platform.</li> <li>Carry out investigations of escalated cases related to potential misuse of our platform and assist with media, legal, and customer inquiries.</li> <li>Partner with our data science experts to advance our technological and procedural approaches to identifying fraudulent activity.</li> <li>Work closely with our engineering teams to enhance internal tools and databases that enable us to combat fraud and scale effectively.</li> <li>Act as a key resource for other departments within Trustpilot by providing analysis of customer and reviewer behavior on the platform.</li> <li>Present and communicate the results of analyses and investigations to a variety of stakeholders across the department and wider company.</li> <li>Work closely with and report to our Lead Fraud & Investigation Analyst.</li> </ul> <p><strong>Who you are:</strong></p> <ul> <li>Experience in data analytics or a similar analytical role—this could be through formal education (e.g., a degree in Science, Mathematics, Computer Science) or equivalent practical experience.</li> <li>Comfortable working with and interpreting large datasets.</li> <li>A knack for answering difficult questions using data and the ability to translate complex find