Robin Dhamankar

Typical detection architectures rely on a combination of expert investigations to resolve complex cases. We discuss how LLMs create new operational efficiencies alongside human analysts

This post explains how we engineered our LLM-based agent, built rigorous evaluation systems for safe improvement, and are shifting from simply answering questions to automating complex, end-to-end operational workflows.

We describe the modelling formulation we have used for fraud detection and present an extension based on learning a shared fraud representation using multi-task neural networks

Our Machine Learning foundations have matured into a core capability. ML is used at Monzo for defending against financial crime, scaling operations, and powering intelligent, personalised experiences in our products