- Mexico City, Mexico City, Mexico
- Hybrid
- Full-time
- 2+ years
Design and propose fraud models and rules end to end, build LLM pipelines, automate workflows with AI agents, and measure impact with statistical rigor.
Compensation
Competitive salary based on performance and experience Chance of earning Klar stock options 30 days of Christmas bonus
Responsibilities
- Design and propose fraud models and rules end to end
- Detect and size new fraud patterns before they scale
- Measure with statistical rigor and understand how each change affects fraud risk and the customer experience
- Build LLM pipelines that turn unstructured text and documents into validated information for our models and monitoring
- Automate workflows with AI agents, including validation, monitoring, prompt engineering, RAG systems, and A/B experimentation
Requirements
- Bachelor's degree in a quantitative field (Data Science, Mathematics, Actuarial Science, Physics, Engineering, Economics, or related fields)
- Nice to have: graph analysis
- Nice to have: anomaly detection
- Nice to have: dbt
- Nice to have: Airflow