Data Analyst (Fraud Detection)

Join Trustpilot, a leading online review platform, as a Fraud Detection Analyst. In this role, you will analyze data, identify patterns, and create detection rules to combat fraud. You will work on complex challenges in the online trust space and collaborate with a team that values transparency, fairness, and humor. The position offers various benefits, including maternity and paternity pay, a train travel scheme, work-from-home opportunities, and more.

• Analyser les données, repérer les tendances et rédiger des règles de détection pour aider à stopper la fraude.
• Inventer la logique de détection à partir de zéro, concevoir les caractéristiques, les critères et les seuils qui séparent le comportement frauduleux des millions d'avis légitimes.
• Posséder le problème des faux positifs, chaque règle que vous écrivez peut affecter des personnes et des entreprises réelles.
• You can hold a fuzzy, open ended problem in your head, break it into testable pieces, and stay with it. A lot of this work is ambiguous, and the answer isn't in a playbook
• You have strong instincts about the tradeoff between catching fraud and wrongly flagging innocent people, and you treat false positives as a serious cost, not an afterthought
• You build, not just report. You're comfortable writing SQL that goes beyond extraction and joins into genuinely complex, logically layered logic, the kind that becomes a standing detection rule, not a one off query. (We work in SQL, BigQuery, and Looker; deep SQL capability matters more than any specific tool.)
• Experience in data analytics or a similar analytical field, whether through formal education (Science, Maths, Computer Science, or similar) or equivalent hands on experience
• Prior fraud or abuse detection experience is welcome but not required, we care more about how you think than what domain you've worked in
• You think like an adversary. When you see a system, you instinctively wonder how someone would game it, and you enjoy the cat-and-mouse of staying ahead of them
• You're creative with data, not just fluent in it. You can look at a messy, ambiguous dataset and invent a new way to slice it that exposes something nobody had noticed
• We’re excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don’t feel you don't meet all the requirements, we'd still really like to hear from you!