FRAUD DATA ANALYST

Descripción del puesto.
(COMPANY NAME) 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 (COMPANY NAME) for All.
OPERATIONS We'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.
PORTO Our 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 ROLE Reporting 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 DO * Build 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 friction * Work 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 ARE * 3 + years experience working in a fast-paced e commerce fraud environment * Proficiency 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 improvement * Knowledge of fraud systems and controls e.
Forter, Riskified, Accertify * Ability to work autonomously in solving complex technical problems * Detail-oriented with a focus on data accuracy and quality * Excellent communication skills with the ability to convey technical concepts to a non-technical audience * Advanced in English, both written and oral.
REWARDS & BENEFITS * Health insurance for the whole family, flexible working environment and well-being support and tools * Extra days off, sabbatical program and days for you to give back for the community * Training opportunities and free access to Udemy * Flexible benefits program EQUAL OPPORTUNITIES STATEMENT * (COMPANY NAME) 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 (COMPANY NAME) strategy throughout our business, partnerships and communities.
The Fraud Operations team's mission is to protect our customers and reduce risk on the (COMPANY NAME) Platform, while contributing to the growth of our business