AI Research Scientist

• Design and propose fraud models and rules end to end, including problem framing, feature building, model training and validation, threshold setting, and performance monitoring
• Detect and size new fraud patterns before they scale and communicate their impact clearly
• Measure changes with statistical rigor and understand effects on fraud risk and customer experience
• Build LLM pipelines that turn unstructured text and documents into validated information for models and monitoring
• Automate workflows with AI agents, including validation, monitoring, prompt engineering, RAG systems, and A/B experimentation
• Join Klar's Fraud team to help customers use Klar's financial services reliably and securely

Explore Data & AI Scientist – Fraud at Klar. Review requirements and application details.