Fraud Analyst

⭐ About the team: Welcome to the DataDome Customer Experience Department! Our mission is to provide a white-glove onboarding experience on Day 1 and ensure customers are properly enabled to operate the product alongside us Day 2 and beyond. Thanks to a fantastic international team, we are extremely proud to deliver a state-of-the-art solution for our clients and contribute to DataDome’s worldwide success! Job overview You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities across our product line. Your goal will be to challenge and improve our detection capabilities regarding fraud including account take over, fake subscriptions, etc. Responsibilities Develop a deep expertise of fraud patterns observed across our customers’ traffic Improve the long term quality of our fraud detection across DataDome product line Handle customer requests regarding fraud case analysis and reporting Contribute to the fraud detection product development by acting as a power user, recommend UI evolution, new detection signals, etc. Work with Solution Engineers to capture customers’ insights, meet detection performance expectations and inflect the product evolution 👤 It would be great if... Must have: Bachelors Degree Required Have a real passion for data exploration and analysis Good communication skills to interact with both technical and non-technical stakeholders Strong time management and priorization skills Master Python and SQL Strong ability to automate things with scripting and AI Experience in cyber security (web threats) or fraud Nice to have: Implement bots during your spare time Kibana and Elasticsearch usage experience Experience in a technical support role in the past, and willing to discuss directly with product end users What’s in it for you? Fully remote position (US-based) with the flexibility to work from anywhere in+ $500 stipend to help you set up your ideal home workspace. Health Benefits : We offer medical, dental, & vision insurance options to keep you feeling your best. A $100 annual allowance is provided for a leisure activity of your choice in Sports. Professional Development : #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager. Events & Team building: #We care and we have fun! We organize ****Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture Parent Care : Gifts & care packages to celebrate growing families. PTO: 20 paid time off days, 5 sick days and 2 floating holidays ****+ 12 national holidays. 401 K eligibility + matching. What are the next steps? A Talent Acquisition Specialist will contact you for an initial conversation. You will meet with members of our Research and Data Science Leadership Team. You will complete a technical assessment and present your findings during a peer interview. You will meet with the Head of our Technology Team. The final step will be a one-on-one meeting with Benjamin, our CEO. Welcome to DataDome! DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud from simple to sophisticated across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform is built on a multi-layered AI engine that focuses on intent, not just identity. Because it’s not about knowing who’s real, it’s about what they intend to do. With thousands of AI models that adapt to every fraudulent click, signup, and login, DataDome blocks fraud in less than 2 milliseconds, without compromising performance. DataDome is fully automated and integrates seamlessly into any tech stack. Backed by a 24/7 SOC team of advanced threat researchers, DataDome stops over 350 billion attacks annually. Experience protection that outperforms with DataDome. DataDome is an equal-opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.