Senior Data Scientist
Tasks
- Architect machine learning and statistical AML models
- Conduct governance and quality control across AML model lifecycle
- Create management information dashboards for AML metrics
- Develop and validate AML risk models
- Document modeling methodology data sources assumptions validation results
- Ensure AML compliance and regulatory requirements in model design
- Optimize AML model performance
- Perform data quality validation for AML modeling
- Support AML risk assessments internal and external audits
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Data Monitoring | Data Quality | Data Visualization | Datadog | Distributed Computing | Docker | Kubernetes | LexisNexis | Machine Learning | Monte Carlo | Predictive Modeling | Python | SQL | Snowflake | Statistical modeling | Supervised Learning | Tableau | Terraform | Transaction monitoring | Unsupervised Learning | Verafin
Education
Roles
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