Lead Data Scientist - AML
Core
Developing AML detection systems using unsupervised, semi-supervised, and supervised learning with GenAI to detect and mitigate financial crime globally.
Role type
Senior IC machine-learning engineer (financial crime)
Builds
AML detection controls, decisioning layers, and production-grade Python services for Wise's international user base
Domain
Financial services / Anti-Money Laundering (AML)
Deliverable
production ML models
Required skills
Machine Learning (unsupervised, semi-supervised, supervised), Python, Statistical Analysis, Experiment Design, Cross-functional collaboration, Mentoring
Preferred skills
Large Language Models (LLM), Operational process automation, Financial Crime domain knowledge
Technologies
Python, GenAI, Automated pipelines
Responsibilities
Develop AML detection controls using various learning techniques; Create frameworks to prove controls coverage; Evaluate AML systems against benchmarks; Develop decisioning layers for precision/recall trade-offs; Package algorithms into deployable libraries; Implement automated data gathering and model retraining pipelines; Collaborate with operational teams to refine processes.
Seniority
Senior, hands-on IC with mentoring responsibilities
