🛠 Tech Stack

💼 About This Role

You'll research and improve fraud detection capabilities for a cutting-edge SaaS product. You'll investigate real-world fraud patterns, reproduce attacker techniques, and turn insights into production-grade prevention mechanisms. This role combines attacker mindset with strong technical depth.

🎯 What You'll Do

• Research fraud techniques across account takeover, bots, and automation
• Identify and validate new security signals from browsers and mobile apps
• Analyze telemetry to discover detection opportunities
• Reproduce attacker techniques and build detection logic

📋 Requirements

• 3+ years in security research or fraud research
• Bachelor's in CS, Cybersecurity, or equivalent experience
• Strong hands-on with browser technologies or mobile security
• Strong Python skills for research tools and automation

✨ Nice to Have

• Experience with browser fingerprinting or client-side web security
• Familiarity with machine learning training and evaluation
• Experience in fraud detection for SaaS products

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min