Senior Data Scientist/ML Engineer - Financial Crime
Core
Build production ML systems for transaction monitoring to detect financial crime (AML/Fraud) and ensure regulatory compliance.
Role type
Senior IC ML Engineer with strong data science capabilities
Builds
Production-ready transaction-monitoring models, batch training pipelines, and model lifecycle infrastructure
Domain
Fintech / Financial Crime (AML, Fraud Detection)
Deliverable
production ML models
Required skills
Python engineering, production ML deployment, end-to-end ML pipelines, data engineering, feature engineering, model monitoring, CI/CD, stakeholder communication
Preferred skills
PySpark, unsupervised learning, feature stores, model registries, AI systems tooling
Technologies
Python, PySpark
Responsibilities
Own and evolve end-to-end batch training pipelines for transaction-monitoring models; Build reliable software around the model lifecycle including testing, CI/CD, versioning, deployment, and monitoring; Engineer features reflecting AML and Fraud typologies; Monitor model drift, health, and performance; Produce model cards and technical documentation for auditability; Partner with Risk Operations and Engineering to translate domain knowledge into technical plans
Seniority
Senior, hands-on IC
