Summary

As a senior data scientist at arq, you will build and deploy machine learning models for financial crime and risk use cases such as fraud detection, chargeback prediction, and transaction monitoring. You will work with product, engineering, and operations to turn large-scale datasets into production-ready model-serving solutions, while monitoring performance and improving accuracy and reliability.

Responsibilities

• Design, build, and deploy ml models
• Develop fraud detection and risk modeling solutions
• Analyze large datasets to find patterns
• Build production-ready data pipelines and model serving
• Monitor model performance and improve accuracy
• Operationalise machine learning at scale
• Partner with product and operations on metrics