Data Scientist II, Anti Money Laundering Transaction Monitoring
Tasks
- Analyze customer and transaction data
- Assess data quality and data lineage
- Collaborate with compliance FIU and stakeholders
- Conduct exploratory data analysis
- Create model development and governance documentation
- Design AML transaction monitoring models
- Develop machine learning models for suspicious activity detection
- Ensure regulatory compliance and model risk management
- Evaluate model performance and effectiveness
- Monitor and improve deployed models
- Perform feature engineering
- Research financial crime typologies and techniques
- Support model validation activities
- Translate analytics into AML recommendations
- Tune and optimize machine learning models
Perks/Benefits
- Accident insurance
- Health insurance
- Life insurance
- Manager support
- Network-building opportunities
- Retirement savings plans
- Training and coaching
- Tuition reimbursement
Skills/Tech-stack
Anomaly Detection | Apache Hadoop | Apache Spark | Azure DevOps | Cloud analytics | Clustering | Data Analysis | Data Lineage | Data Quality | Databricks | Dataiku | Exploratory Data Analysis | Feature Engineering | Git | Graph analytics | Machine Learning | Model Governance | Model Risk Management | Model Validation | Model risk | Network Analysis | Python | Risk Management | SAS | SQL | Statistical Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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