ML Engineer - Statistical Integrity (Financial Crime)
Core
Building the integrity layer for a label platform to ensure machine learning models learn from clean, reliable data by focusing on label quality, monitoring, and statistical integrity.
Role type
Senior IC Machine Learning Engineer (Statistical Integrity)
Builds
Integrity layer for label platform, automated audit processes, statistical quality metrics
Domain
Fintech / Financial Crime / Risk Intelligence
Deliverable
production ML models
Required skills
Statistical analysis, Python, Java, SQL, ML lifecycle management, data pipeline construction, data visualization
Preferred skills
Graph Neural Networks, Support Vector Machines, NLP, Transformers, LSTMs, real-time streaming data pipelines
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
Seniority
Senior, hands-on IC
