Senior Data Science Lead - AML Risk
Core
Lead the AML Risk Data Science team to build machine learning and GenAI solutions for detecting and mitigating financial crime across Wise's global licenses.
Role type
Senior IC Data Science Lead (AML Risk)
Builds
AML detection systems, decisioning layers, and automated pipelines for financial crime mitigation.
Domain
Financial Services / Anti-Money Laundering (AML)
Deliverable
production ML models
Required skills
Machine Learning (unsupervised, supervised, semi-supervised), Python (OOP), Statistical Analysis, Experiment Design, Product Mindset, Team Leadership, Mentoring, Performance Testing, Model Deployment, Automated Pipelines
Preferred skills
Large Language Models (LLM), Financial Crime Domain Knowledge, Operational Process Automation
Technologies
Python, GenAI, ML Frameworks
Responsibilities
Build AML detection controls using ML and GenAI; Create frameworks to prove controls coverage; Develop technologies for international user bases; Hire and mentor data science specialists; Evaluate AML systems against benchmarks; Design decisioning layers for precision/recall trade-offs; Collaborate with operational teams to refine processes; Package algorithms for production; Maintain automated data gathering and retraining pipelines.
Seniority
Senior, hands-on IC with team leadership
