Fraud Analyst
Core
Integrate the Threats Research team to challenge and improve fraud detection capabilities (account take over, fake subscriptions) across the DataDome product line.
Role type
Fraud Analyst (Data Science & Security)
Builds
Multi-layered AI engine for real-time bot and agent trust management
Domain
Cybersecurity / Fraud Detection / AI
Deliverable
production ML models
Required skills
Python, SQL, Data exploration and analysis, Cyber security (web threats), Fraud detection, Scripting and AI automation
Preferred skills
Kibana, Elasticsearch, Technical support experience
Technologies
Python, SQL, Kibana, Elasticsearch
Responsibilities
Develop expertise in fraud patterns observed across customer traffic, Improve long-term quality of fraud detection, Handle customer requests regarding fraud case analysis and reporting, Contribute to product development by recommending UI evolution and new detection signals, Work with Solution Engineers to capture customer insights and meet detection performance expectations
Seniority
Mid-level, hands-on IC
