Senior Data Scientist: Global Data Analytics - Internal Audit Innovation & Enablement
Tasks
- Analyze user behavior monetization flows and system events for risk
- Automate recurring audit procedures and control testing
- Build and maintain ETL pipelines reusable analytics frameworks and dashboards
- Communicate analytical findings to technical and non-technical stakeholders
- Create reusable analytics assets for auditors
- Define and monitor Key Risk Indicators
- Design build and maintain audit ready data warehouses and data marts
- Design data-driven testing strategies for audits
- Develop complex queries and analytical logic
- Enable self service analytics with standardized datasets documentation and dashboards
- Identify anomalies trends and risk signals
- Implement data quality checks reconciliation logic and monitoring
- Perform population completeness accuracy and integrity testing
- Translate audit objectives into analytical tests metrics and models
- Uplift audit team with knowledge sharing and training
- Use statistical methods anomaly detection and machine learning for risk signal detection
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Dashboards | Data Integrity | Data Lineage | Data Modeling | Data Quality | Data Warehousing | ETL | Key Risk Indicators | Machine Learning | Python | Risk indicators | SQL | Statistical Analysis
Education
N/A
Roles
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