Sr Data Scientist
Tasks
- Analyze large datasets for patterns and anomalies
- Build reporting platforms for regulatory requirements
- Conduct deep dive root cause analyses
- Create data dashboards for rule and model performance
- Design deploy monitor predictive models for fraud and anomalies
- Develop AI ML models to detect risks
- Evaluate anti money laundering and financial crime rules
- Generate data evidence for auditability traceability
- Manage rules performance thresholds
- Validate cleanse reconcile compliance data
Perks/Benefits
- Employee assistance program
- Generous vacation program
- Hybrid working
- Learning stipend
- Medical coverage
- Role-specific training
Skills/Tech-stack
Analytics | Anomaly Detection | Artificial Intelligence | Auditability | Case management | Cause analysis | Dashboarding | Data Cleansing | Data Privacy | Data Quality | Data Reconciliation | Data Validation | Data labeling | Explainable AI | Fraud Detection | Machine Learning | Model Governance | Predictive Modeling | Regulatory Reporting | Root Cause Analysis | Root cause | Sanctions screening | Series analysis | Time Series | Time Series Analysis | Traceability | Transaction monitoring
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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