🛠 Tech Stack

💼 About This Role

You'll serve as the technical cornerstone of our Fraud Prevention team, pioneering AI-driven fraud detection to protect independent businesses. You'll design and implement LLM-powered forensic investigations and advanced ML models to identify fraud rings. This role bridges data science, engineering, and risk strategy without managing a team.

🎯 What You'll Do

• Define the long-term technical roadmap for fraud detection ecosystem
• Design and implement Generative AI agents and LLM-powered workflows
• Develop ML models and graph-based heuristics to identify fraud
• Serve as primary technical consultant to Product and Engineering
• Act as escalation point for high-stakes fraud attacks using Python and network analytics

📋 Requirements

• 5+ years in fintech or payments fraud analytics
• Proven experience leveraging Generative AI, LLMs, and Machine Learning
• Mastery of Python and SQL for data science and automation
• Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis

✨ Nice to Have

• Prior experience scaling fraud programs in marketplace, SaaS, or creator-economy
• Bachelor's or Master's in quantitative field or equivalent technical experience
• Advanced data-visualization skills (Looker, Tableau, Omni, Superset or equivalent)

🎁 Benefits & Perks

• 💰 Competitive salary + meaningful equity
• 🏖️ Exceptional family leave policies
• 🧘 Wellness programs
• 📈 High-growth, mission-driven environment

📨 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