About the job
At Trustpilot, we are on an exciting journey as a profitable, high-growth FTSE-250 company with a bold vision: to be the universal symbol of trust. We operate the largest independent consumer review platform globally, and while we've achieved significant milestones, there's much more exhilarating work ahead. Join us at the forefront of trust!
We are in search of an inquisitive and analytical Fraud Detection Analyst to become part of our global Fraud & Investigations team. In this role, you will analyze data, identify trends, and formulate detection rules that play a crucial role in preventing fraud, thereby protecting consumers, businesses, and the integrity of our platform.
You'll tackle complex and often ambiguous challenges in the dynamic landscape of online trust. If you are passionate about problem-solving, delving into data, and making a significant impact, this is your opportunity.
Joining a collaborative and inquisitive team that values transparency, fairness, and humor, you will contribute to the broader Trust & Transparency team, driving change across the organization and helping us achieve our vision of being the online symbol of trust.
Key Responsibilities:
- Analyze fraud patterns and develop a comprehensive understanding of fraudulent behavior on our platform using SQL, Google BigQuery, and Google Looker.
- Create rules based on your analysis to mitigate fraudulent activities across our platform.
- Investigate escalated cases related to potential misuse of our platform and support media, legal, and customer inquiries.
- Collaborate with data science experts to enhance our technological and procedural methods for identifying fraud.
- Work closely with engineering teams to improve internal tools and databases that bolster our fraud prevention efforts.
- Serve as a key resource for other departments by analyzing customer and reviewer behavior on the platform.
- Communicate findings from analyses and investigations to various stakeholders across the department and the wider company.
- Report directly to our Lead Fraud & Investigation Analyst.

