Data Science Manager - AML Risk
Tasks
- Create controls coverage frameworks
- Design data labelling projects
- Develop AML detection controls
- Develop AML detection systems
- Develop machine learning decisioning layers
- Evaluate systems against benchmarks
- Implement scheduled data gathering pipelines
- Lead hiring and mentoring
- Maintain production Python services
- Package algorithms into deployable libraries
- Provide data driven scenario insights
- Provide investigator decision support systems
- Refine operational feedback integration
- Retrain models using automated pipelines
- Transition models from staging to production
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Data labeling | Deep learning | Experiment design | GenAI | Language Processing | Machine Learning | Natural Language | Natural Language Processing | OOP | Precision Recall Tradeoff | Precision-recall | Production Deployment | Python | Semi-Supervised Learning | Semi-supervised | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
N/A
Roles
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