Lead Data Scientist - Anti-Money Laundering (AML)
Core
Lead Data Scientist building AI-based financial crime detection systems to mitigate Anti-Money Laundering (AML) risks and keep customers safe.
Role type
Senior IC machine-learning engineer (financial crime/AML)
Builds
AML detection controls, decisioning layers, and production-grade Python services for a global 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 (via careerplan.io/jobs/744000153714130-lead-data-scientist-anti-money-laundering-aml-at-wise)
Preferred skills
Large Language Models (LLM), Financial Crime domain knowledge, operational process automation
Technologies
Python, GenAI, automated pipelines
Responsibilities
Develop AML detection controls using various learning techniques; create frameworks for regional control coverage; evaluate AML systems against benchmarks; optimize precision/recall trade-offs; design decisioning layers; implement automated data gathering and model retraining pipelines; mentor junior team members; collaborate with operational teams to refine processes.
Seniority
Senior, hands-on IC with mentoring responsibilities
