Senior Data Scientist
Tasks
- Architect AML machine learning models
- Assess data quality integrity and completeness
- Assign customer AML risk ratings
- Build AML management information dashboards
- Conduct code reviews for AML models
- Develop AML models
- Document modeling methodology and validation results
- Embed AML compliance requirements in model design
- Implement AML models
- Lead AML model governance
- Maintain and test AML vendor solutions
- Monitor transactions for AML
- Optimize AML models
- Oversee internal model validation
- Perform risk based customer screening
- Perform transaction screening
- Prepare governance documentation for tuning and parameter changes
- Support AML risk assessments and audit inquiries
- Track and report model performance results
- Validate AML models
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Customer Screening | Dashboards | Data Integrity | Data Monitoring | Data Quality | Data Visualization | Data Warehousing | Distributed Computing | Machine Learning | Model Risk Management | Model Validation | Model risk | Predictive Modeling | Python | Risk Management | SQL | SQL Databases | Statistical modeling | Supervised Learning | Transaction monitoring | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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