Senior Analyst, Data Scientist - Compliance Strategy, Data Intelligence & Innovation
Tasks
- Automate recurring reporting and data quality checks
- Build and maintain reusable Python and SQL data pipelines
- Clean and analyze monitoring data for accurate repeatable outputs
- Design test and validate risk indicators and analytical features
- Document scenario lifecycle insights and production readiness
- Ensure explainability auditability and regulator readiness
- Improve data quality and support root cause analysis
- Monitor and assess scenario and model performance
- Reconcile key fields and flag unusual patterns
- Reduce false positives for alert quality
- Summarize results and residual risk for compliance leadership
- Support AI and advanced analytics model feature creation
- Translate regulatory and business questions into analytical thresholds and metrics
- Tune and optimize sanctions screening and transaction monitoring scenarios
Perks/Benefits
Skills/Tech-stack
AML | Auditability | Data Reconciliation | Data Validation | Data cleaning | Descriptive Statistics | Excel | Explainability | Generative AI | Hypothesis Testing | Machine Learning | Model Monitoring | NumPy | Pandas | Power BI | Python | SQL | Sanctions screening | Scikit-learn | Window Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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