Data Analyst (Fraud Detection)

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! 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: * Hunt for novel fraud on the platform, form hypotheses about how bad actors operate, then prove or disprove them in data that rarely offers a clean answer. * Invent detection logic from scratch: design the features, criteria, and thresholds that separate fraudulent behaviour from the millions of legitimate reviews it hides among. * Engineer that logic into production grade detection rules in SQL, carefully structured, logically sound, and built to keep working as fraudsters adapt. * Own the false positive problem. Every rule you write can affect real people and businesses, so you'll obsess over precision as much as coverage, building in the exclusions and safeguards that protect legitimate users. * Investigate escalated cases of platform misuse, and assist with media, legal, and customer inquiries. * Partner with data scientists to sharpen our detection approaches, and work with engineering to improve the tools and data infrastructure that let your rules scale. * Act as a resource for other teams by analysing reviewer and business behaviour, and communicate your findings and reasoning clearly to both technical and non-technical stakeholders. * Work closely with and report to our Manager of Fraud Analytics. Who you are: * 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. * 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.) * 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 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. * 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. 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 table tennis, a gaming corner, coffee bars and 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. * Independent financial advice and free standard professional mortgage broker advice * Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. 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! #LI-RS1 About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. 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. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.

Are you driven by analytics, automation, and stopping fraud before it happens? Join our fintech bank and help us design the next generation of data-driven fraud prevention in Sweden. As a Fraud Analyst, you will work at the intersection of data science, risk, and real-time decisioning. You will develop, test, and optimize fraud detection models across lending, cards, and payments. Your analyses will directly influence risk appetite, customer experience, and portfolio performance. You will: Analyze large, complex datasets to detect fraud patterns and emerging attack vectors Develop and maintain fraud models, rules, and monitoring frameworks Build dashboards and reporting that translate risk signals into actionable insight Partner closely with Fraud Prevention, Credit Underwriting, IT, and Data Engineering Continuously improve automation, decision engines, and model performance This is a hands-on role in a fast-moving environment where your work directly impacts loss rates, approval rates, and customer trust. Who you are 5+ years’ experience in data science, analytics, or quantitative risk roles within a bank, fintech or related industry Strong knowledge of machine learning, statistical modeling, and model validation Advanced SQL and Python (R is a plus) Experience with BI and visualization tools (e.g. Power BI, Tableau, Qlik, SAS) Comfortable working with large datasets and production-grade decision systems Able to translate complex analysis into clear, business-driven recommendations Experience in financial fraud prevention or fraud risk management is highly meriting You are analytical, commercially minded, and motivated by solving adversarial problems in real time. You thrive in a fintech environment where speed, ownership, and impact matter. Resurs in brief At Resurs, we make everyday finances easier through innovative and customer-focused solutions. With customers across the Nordics and more than 800 colleagues, we are committed to creating long-term value for individuals, businesses, and society. Recognized as a career company for the past six years, we put strong emphasis on both personal and professional growth. We want to make a difference by striving to be our best, acting with kindness, and building trust through clarity and collaboration. Our heart beats strong and it shows in everything we do. Although we are based in the Nordics, our team is enriched by the breadth of perspectives brought by colleagues from different countries. We foster a welcoming and supportive culture, where collaboration drives us to achieve the best outcomes for our users. Apply today! Don’t wait to send in your application. Selection and interviews take place on an ongoing basis, and the position may be filled before the last application date. We look forward to hearing from you! Important information On final candidates, we carry out a detailed background check via an external company. #LI-LN1