Fraud Analyst

• Join the Threats Research team responsible for improving detection capabilities across the product line
• Develop deep expertise in fraud patterns observed across customer traffic
• Improve the long-term quality of fraud detection across the DataDome product line
• Handle customer requests involving fraud case analysis and reporting
• Contribute to fraud detection product development as a power user
• Recommend UI improvements and new detection signals
• Work with Solution Engineers to capture customer insights, meet detection performance expectations, and influence product evolution

• Bachelor's degree required
• Passion for data exploration and analysis
• Good communication skills to interact with technical and non-technical stakeholders
• Strong time management and prioritization skills
• Mastery of Python and SQL
• Ability to automate tasks with scripting and AI
• Experience in cybersecurity (web threats) or fraud
• Kibana and Elasticsearch usage experience (nice to have)
• Experience in a technical support role and willingness to discuss directly with product end users (nice to have)

• Remote, hybrid, and in-office options according to the position’s specified flexibility
• €500 stipend for setting up a workspace when working hybrid or remotely
• SNCF discount card paid for fully remote employees to visit the office and team
• Healthcare benefits through Kenko
• €100 annual allowance for a sports or culture leisure activity
• €200 annual allowance for bicycle maintenance when commuting to the office by bike
• Internal Learning and Development platform
• Opportunity to request additional training and support via manager
• Annual company offsite, events, drinks, winter party, lunch and learns, and other team-building activities
• Gifts and care packages for parents
• Paid time off based on the country of residence, e.g. 25 days in France