Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to identify fraud patterns and create detection rules.
- Company: Join Trustpilot, a global leader in online trust and consumer reviews.
- Benefits: Enjoy flexible working, competitive pay, 25+ days holiday, and wellness perks.
- Why this job: Make a real impact in online safety while collaborating with a fun, diverse team.
- Qualifications: Experience in data analytics and SQL is essential; a curious mindset is a plus.
- Other info: We value diversity and encourage all backgrounds to apply!
The predicted salary is between 30000 - 42000 £ per year.
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way—but there’s still an exciting journey ahead. 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:
- Identify fraud trends and curate a deep understanding of fraudulent behavior on our platform via expert use of SQL, Google BigQuery, and Google Looker.
- Formulate rules off the back of your own analysis to mitigate fraudulent behavior across our platform.
- Carry out ad-hoc investigations of escalated cases related to potential misuse of our platform and assist with media, legal, and customer cases.
- Partner with our data science experts to propel our technological and procedural approaches to the forefront of identifying fraudulent activity.
- Work closely with our engineering teams to enhance internal tools and databases that enable us to combat fraud and scale effectively.
- Act as the go-to person for other departments within Trustpilot to provide analysis of customer and reviewer behavior on the platform.
- Presenting and communicating 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:
- Proven experience in a data analytics or similar analytical role — whether through formal education (e.g. a degree in Science, Mathematics, Computer Science) or relevant industry experience.
- Proven experience working with large datasets.
- Experience in answering difficult questions using large datasets and the ability to translate complex data into easily understandable reports.
- Experience writing queries and preparing reports using SQL or equivalent language.
- Motivated to pursue self-learning and broaden your competencies when presented with fresh obstacles.
- Prior knowledge of formulating rules to combat fraudulent behavior is a bonus.
- The capability to handle various assignments simultaneously with a 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 to spend your time giving back to the causes that matter to you and your community.
- Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist.
- Pension and life insurance.
- Health cash plan, online GP, 24/7 Employee Assistance Plan.
- Full access to Headspace, a popular mindfulness app to promote positive mental health.
- Paid parental leave.
- Season ticket loan and a cycle-to-work scheme.
- Central office location complete with all the snacks and refreshments you can ask for.
- Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials.
- Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.
Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected.
Fraud Detection Analyst employer: Trustpilot
Contact Detail:
Trustpilot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Detection Analyst
✨Tip Number 1
Familiarise yourself with SQL and data analysis tools like Google BigQuery and Google Looker. Being able to demonstrate your proficiency in these tools during interviews will show that you can hit the ground running.
✨Tip Number 2
Stay updated on the latest trends in fraud detection and prevention. Understanding current methods and technologies used in the industry will help you engage in meaningful conversations with the team and showcase your passion for the role.
✨Tip Number 3
Prepare to discuss specific examples of how you've identified patterns in data or solved complex problems in previous roles. This will highlight your analytical skills and ability to tackle ambiguous challenges, which are crucial for this position.
✨Tip Number 4
Network with professionals in the fraud detection field, whether through LinkedIn or industry events. Building connections can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Fraud Detection Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and fraud detection. Use specific examples that demonstrate your ability to analyse large datasets and formulate rules to combat fraudulent behaviour.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and problem-solving. Mention how your skills align with the role of Fraud Detection Analyst and your enthusiasm for contributing to Trustpilot's mission of building trust.
Showcase Technical Skills: Emphasise your proficiency in SQL, Google BigQuery, and Google Looker. Provide examples of how you've used these tools in previous roles to identify trends or solve complex problems.
Prepare for Potential Questions: Think about how you would explain your analytical process and decision-making in past experiences. Be ready to discuss specific cases where you identified fraud trends or improved processes, as this will demonstrate your fit for the role.
How to prepare for a job interview at Trustpilot
✨Showcase Your Analytical Skills
As a Fraud Detection Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used SQL or similar tools to identify trends and solve problems in past roles.
✨Understand the Company’s Mission
Familiarise yourself with Trustpilot's vision of being the universal symbol of trust. Demonstrating an understanding of their goals and how your role contributes to that mission can set you apart from other candidates.
✨Prepare for Technical Questions
Expect questions that test your knowledge of fraud detection techniques and data analysis. Brush up on your SQL skills and be ready to explain how you would formulate rules to combat fraudulent behaviour based on data insights.
✨Emphasise Collaboration
Since the role involves working closely with various teams, highlight your experience in collaborative environments. Share examples of how you've partnered with others to achieve common goals, especially in data-driven projects.
