Staff Data Scientist - AML
Wise · London
£119k–£164k2 months ago
HybridFull_timeanti-money launderingfinancial crime detectionfraud detection
£119k–£164k
2 months ago
Salary
£119k–£164k
Workplace
Hybrid
Employment
Full_time
Location
London
Posted
2 months ago
Summary
Staff Data Scientist role focused on building production machine learning systems for anti-money laundering and financial crime detection at Wise in London. The role is hybrid and involves Python, deep learning, anomaly detection, graph-based models, LLM orchestration, and AI agent frameworks.
Responsibilities
- Lead development and deployment of machine learning models
- Design modular aml detection systems for regional typologies
- Integrate llms with ai agents in production
- Conduct large-scale training and hyperparameter tuning
- Define performance metrics for model outputs
- Design data collection, curation, and augmentation strategies
- Document models, features, and maintenance processes
pythonneural networksdeep learninganomaly detectiongraph-based modelstransformerstensorflowpytorchllamaindexlanggraphmcpllm orchestrationhyperparameter tuning
anti-money launderingfinancial crime detectionfraud detectionreal-time transaction monitoringanomaly detectionllm applications
