Senior ML Engineering 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 Lead (Financial Crime)
Builds
Automated model lifecycle ecosystem, real-time monitoring infrastructure, and a team of ML engineers for Wise's FinCrime organization.
Domain
Fintech / Financial Crime / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
ML engineering leadership, model lifecycle automation, system-level architecture design, high-throughput low-latency system design, team building and mentoring, deep learning expertise, production infrastructure management
Preferred skills
Graph-based methods (GNNs, entity resolution), foundation model fine-tuning, LLM evaluation, transitioning classical ML to deep learning
Technologies
Deep learning frameworks, ML orchestration tools, real-time inference systems
Responsibilities
Architect declarative model pipelines, establish experimentation engines, build automated retraining and drift detection infrastructure, recruit and mentor senior ML engineers, define cross-platform partnership strategies
Seniority
Senior, hands-on IC with leadership responsibilities
