Senior Machine Learning Engineer II - FinCrime
Core
Building the integrity layer for the label platform to ensure accurate historical tags (e.g., fraud, money laundering) for Risk ML models.
Role type
Senior IC Machine Learning Engineer (Data Quality & Label Integrity)
Builds
The integrity layer of the label platform for Risk ML models
Domain
Fintech / Financial Crime Prevention
Deliverable
production ML models
Required skills
Statistical analysis, Python, Java, SQL, Machine Learning lifecycle management, Data pipeline construction, Data visualization
Preferred skills
Graph Neural Networks, Support Vector Machines, NLP, Transformers, LSTMs, Real-time streaming data (Kafka), Kaggle/GSoC experience
Technologies
Python, Java, SQL, Kafka
Responsibilities
Building and scaling the integrity layer of the label platform; Defining and monitoring statistical fundamentals and quality metrics; Designing automated audit processes for label quality; Working end-to-end on model training, evaluation, and pipeline deployment; Collaborating with cross-functional partners across Risk Intelligence, Data Engineering, and Product
Seniority
Senior, hands-on IC
