🛠 Tech Stack

💼 About This Role

You'll explore how behavioral and device signals like interaction timing and motion data can strengthen fraud detection. You'll build a portfolio-ready prototype that improves decisioning accuracy. This is a chance to deliver real impact at a fast-growing identity verification company.

🎯 What You'll Do

• Instrument code to collect behavioral and device signals
• Analyze data and engineer features for fraud detection
• Develop detection or scoring logic as a proof-of-concept
• Map integration points and document findings

📋 Requirements

• Pursuing a degree in Computer Science, Engineering, or Data Science
• Experience in Go, Python, or Java
• Familiarity with data analysis or ML concepts
• Understanding of APIs and backend systems

✨ Nice to Have

• Exposure to fraud, identity, or security domains
• Experience with behavioral or event-based data
• Familiarity with SQL, Spark, or large-scale data tools

🎁 Benefits & Perks

• 💵 Competitive hourly rate $25-$50/hour
• 🏠 Remote flexibility
• 🚀 Real impact on a critical product
• 📋 Portfolio-ready project

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• Wage range very broad ($25-$50/hr) suggesting role may be underdefined