Job
Core
Build and maintain a production ML product (Dynamic Risk Score) for daily scoring of the client base to drive financial crime prevention, quarantine, and alert suppression.
Role type
Senior Machine Learning Engineer (Financial Crime Prevention)
Builds
Production ML models for transaction processing and client onboarding risk scoring
Domain
Fintech / Financial Crime Prevention
Deliverable
production ML models
Required skills
Binary classification, regression, SQL, Python, FastAPI, cloud data platforms (Databricks), model monitoring, champion-challenger framework, infrastructure design
Preferred skills
Graph modeling, foundation models, embeddings
Responsibilities
Develop full-stack ML models for financial crime detection, own and evolve the Dynamic Risk Score across markets, optimize transaction rules and alert generation, set up continuous model monitoring, develop infrastructure for model operationalization
Seniority
Senior, hands-on IC
