Senior Data Scientist
Tasks
- Assess data quality integrity and completeness
- Build management information dashboards
- Conduct risk based customer screening and transaction monitoring
- Develop and validate AML models
- Document modeling methodology data sources and validation results
- Embed AML compliance and regulatory requirements into model design
- Maintain and configure AML vendor solutions
- Optimize AML models and model performance
- Perform AML model lifecycle governance and quality control
- Support AML risk assessments internal external audits and regulatory inquiries
Perks/Benefits
- N/A
Skills/Tech-stack
BSA/AML | Cloud Computing | Customer Screening | Data Quality | Data Quality Validation | Data Visualization | Data Warehousing | Datadog | Distributed Computing | Docker | Fraud analytics | Kubernetes | Machine Learning | Management Information Dashboards | Management information | Model Risk Management | Model Validation | Model risk | OFAC | Predictive Modeling | Python | Quality validation | Risk Management | SQL | Snowflake | Statistical modeling | Supervised Learning | Terraform | Transaction monitoring | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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