Fraud Detection Analyst

At Trustpilot, we’re on an incredible journey as a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world’s largest independent consumer review platform, and there’s exciting work to do as we continue to grow. We’re seeking 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, protecting consumers, businesses, and the integrity of our platform.

You’ll work on complex, often ambiguous challenges in the 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:

• Identify fraud trends and develop a deep understanding of fraudulent behavior on our platform through the use of SQL, Google BigQuery, and Google Looker.
• Formulate rules based on your analysis to mitigate fraudulent behavior across our platform.
• Carry out investigations of escalated cases related to potential misuse of our platform and assist with media, legal, and customer inquiries.
• Partner with data science experts to advance our technological and procedural approaches to identifying fraudulent activity.
• Work closely with engineering teams to enhance internal tools and databases that enable us to combat fraud and scale effectively.
• Act as a key resource for other departments within Trustpilot by providing analysis of customer and reviewer behavior on the platform.
• Present and communicate the results of analyses and investigations to a variety of stakeholders across the department and wider company.
• Work closely with and report to our Lead Fraud & Investigation Analyst.

Who you are:

• 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.
• Comfortable working with and interpreting large datasets.
• A knack for answering difficult questions using data and the ability to translate complex findings into clear, actionable reports.
• Proficiency in writing queries and preparing reports using SQL or a similar language.
• Motivated by self-learning and the desire to grow your skills when faced with new challenges.
• Prior knowledge of formulating rules to combat fraudulent behavior is a plus, but not a requirement.
• The ability to manage multiple priorities effectively with a proactive, forward-thinking mindset.

What’s in it for you:

• A range of flexible working options to dedicate time to what matters to you.
• Competitive compensation package + bonus.
• 25 days holiday per year, increasing to 28 days after 2 years of employment.
• Two (paid) volunteering days a year.
• Rich learning and development opportunities through the Trustpilot Academy.
• Pension and life insurance.
• Health cash plan, online GP, 24/7, Employee Assistance Plan.
• Full access to Headspace for mental health support.
• Paid parental leave.
• Season ticket loan and a cycle-to-work scheme.
• Central office location with amenities and access to events.
• Access to deals and discounts on travel, electronics, fashion, and more.
• Talent acceleration programs to support growth.