ML Engineer - Statistical Integrity (Financial Crime)
Tasks
- Build label platform integrity layer
- Collaborate with risk intelligence and data engineering
- Define statistical quality metrics
- Design automated audit processes
- Monitor label quality over time
- Train, evaluate, and deploy ML models
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Quality | Data Visualization | Graph Neural Networks | Java | Kafka | LSTMs | Language Processing | Machine Learning | NLP | Natural Language | Natural Language Processing | Neural Networks | Python | SQL | Statistical Analysis | Support Vector Machines | Transformers | Vector machines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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