Head of ML & MLOps Engineering - Fintech Engineering

The mission

Build a state-of-the-art ML platform and the discipline around it.

Models with a price tag. Every model has a business case and a measurable monetary outcome.

Credit and decisioning models built with rigorous validation, champion/challenger testing and explainability.

A production ML platform. Serving, monitoring, reproducibility and retraining are engineered, not improvised.

Responsible AI, built in. Model risk, bias and explainability checks, with an independent sign-off gate before anything reaches production.

Agent-first systems. Agents are production components with orchestration, guardrails, evals and observability.