PT Porto, Portugal
57 days ago
Fraud Data Analyst
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.
OPERATIONSWe're passionate about operational excellence, acting with our customers and partners always in our heart. Covering the entire order journey, we create our online content, secure payments and fraud process compliance, ensure order fulfilment and delivery, while providing customer and partner care. In a nutshell, we love to create seamless and memorable luxury experiences for our customers all around the world.
PORTOOur Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. You can have an informal meeting in the treehouse or play the piano during your lunch break!
THE ROLEReporting to the Fraud & Risk Investigations Manager, you will be pivotal in executing and refining our fraud prevention activities. Utilizing advanced tools and comprehensive data analysis, you will optimize fraud detection methods, enhance overall performance, and achieve key KPIs across all regions and business units.WHAT YOU'LL DOBuild and maintain fraud reports and dashboards in BigQuery and Looker to enable real-time fraud analysis. Proactively identify and resolve fraud issues, ensuring we’re balancing fraud prevention with customer experience. Daily monitoring and reporting of fraud KPIs.Produce ad hoc reports to evidence live issues and trends and develop solutions to prevent and mitigate risk. Design, test and implement rules & logic to prevent fraud and reduce false positives. Apply advanced analytical techniques to extract meaningful insights from large datasets to minimise fraud chargebacks whilst balancing customer frictionWork independently on fraud analytics and the analysis of large datasets to ensure appropriate feedback is given to the internal and external ML models. Communicate and escalate fraud trends in a clear and understandable manner to stakeholders.WHO YOU ARE3 + years experience working in a fast-paced e commerce fraud environmentProficiency in SQL (SQL Server, BigQuery, or similar)Experience using data visualisation tools (Looker, PowerBI, Tableau, or similar)Ability to transform data analysis into defined actions and improvementKnowledge of fraud systems and controls e.g Forter, Riskified, Accertify Ability to work autonomously in solving complex technical problemsDetail-oriented with a focus on data accuracy and qualityExcellent communication skills with the ability to convey technical concepts to a non-technical audienceAdvanced in English, both written and oral.REWARDS & BENEFITSHealth insurance for the whole family, flexible working environment and well-being support and toolsExtra days off, sabbatical program and days for you to give back for the communityTraining opportunities and free access to UdemyFlexible benefits programEQUAL OPPORTUNITIES STATEMENTFARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.The Fraud Operations team's mission is to protect our customers and reduce risk on the Farfetch Platform, while contributing to the growth of our business.
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