Senior ML Engineering Team Lead - Financial Crime
Core
Lead the Risk Modelling engineering pillar to build and scale ML systems for financial crime detection (fraud, money laundering) at global scale with strict latency SLAs.
Role type
Senior ML Engineering Team Lead (Financial Crime)
Builds
Automated model factory pipelines, experimentation engines, and model operations infrastructure for hundreds of models.
Domain
Fintech / Financial Crime / Machine Learning
Deliverable
production ML models
Required skills
ML engineering leadership, model lifecycle automation, system-level ML architecture, high-throughput low-latency systems, team building and hiring, cross-platform partnership, deep learning, ML systems, production infrastructure
Preferred skills
Graph-based methods (GNNs), foundation model fine-tuning, LLM evaluation, transitioning classical ML to deep learning
Responsibilities
Architect declarative model deployment pipelines, establish experimentation paths from research to production, build automated retraining and drift detection infrastructure, recruit and mentor senior ML engineers, define cross-platform build vs consume decisions
Seniority
Senior, hands-on IC with leadership responsibilities
