Security Research
Core
Research, design, and improve advanced fraud and abuse detection capabilities for a cutting-edge SaaS product serving banking, fintech, and other consumer-facing industries.
Role type
Senior Security Researcher (Fraud & Abuse Detection)
Builds
Production-grade detection and prevention mechanisms, data features for ML models, and internal research tools
Domain
Cybersecurity, Fraud Prevention, Browser Security, Mobile Security
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Security research, fraud detection, browser security, mobile security, Python, data analysis, attacker mindset, machine learning concepts
Preferred skills
Browser automation, mobile app instrumentation, telemetry analysis, feature engineering
Technologies
Python, Android, iOS, emulators, browser APIs
Responsibilities
Research emerging fraud techniques (ATO, bots, phishing, device spoofing); Identify and validate new data collection opportunities and security signals; Analyze real-world telemetry and attack patterns; Reproduce attacker techniques in lab environments; Design and tune detection/prevention mechanisms; Build research infrastructure and analysis workflows; Collaborate with data science and engineering teams to implement findings
Seniority
Senior, hands-on IC
