Senior Data Science/ML Engineer - Financial Crime
Core
Building production ML systems and pipelines for transaction monitoring to detect money laundering and financial crime, protecting merchants and ensuring regulatory compliance.
Role type
Senior IC Data Science/ML Engineer (Financial Crime)
Builds
End-to-end batch training pipelines, model versioning, monitoring, deployment, and rollback for transaction monitoring models.
Domain
Fintech / Financial Crime / AML
Deliverable
production ML models
Required skills
Production Python engineering, End-to-end ML pipeline experience, Modelling and productionalizing models, Data engineering fundamentals
Preferred skills
Pyspark, AML/fraud detection domain knowledge, Unsupervised machine learning, Feature Stores, Regulatory ML governance artefacts
Technologies
Python, CI/CD, Pyspark, Feature Stores
Responsibilities
Build and ship production ML systems end to end; Build and improve ML models for transaction monitoring; Engineer features mapped to AML and Fraud typologies; Run sensitivity tests and produce ML governance artefacts; Own and evolve the AML Risk Score; Partner with operations and product teams to translate needs into solutions.
Seniority
Senior, hands-on IC
