Head of Risk & Compliance, Data Science
Tasks
- Bridge analytics with regulatory requirements and risk management
- Develop dashboards for rules and model performance
- Develop data quality integrity and security frameworks
- Enhance anti money laundering rules coverage and accuracy
- Ensure model auditability explainability and privacy compliance
- Establish rules management process and monitoring
- Lead AI ML model development for risk detection
- Lead end to end ML model development for AML KYC fraud and validation
- Validate data labeling and predictive variables
Perks/Benefits
- Employee assistance program
- Generous vacation program
- Hybrid working
- Internal workshops
- Learning stipend
- Medical coverage
- Role-specific training
Skills/Tech-stack
AI | Anti-Money Laundering | Data Mining | Data Modeling | Data Privacy | Data Quality | Data Warehousing | ETL | Fraud Detection | Know Your Business | Know Your Customer | Machine Learning | Model Explainability | Model Validation | Money Laundering | Power BI | Python | Qlik | R | Regulatory Reporting | Rules management | SQL | Sanctions screening | Statistical modeling
Education
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