Job Description
Day-to-Day Responsibilities
- Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases.
- Drive end‑to‑end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation.
- Provide hands‑on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions.
- Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement.
- Engage senior stakeholders (1LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment.
Candidate Requirements
- Extensive experience building and deploying machine learning models in production, with strong h...