Head of Data Engineering and Analytics: Fraud Risk Operations
Absa Towers West, South Africa
ZAR 780K-840K (estimate) Executive-level Full Time
Tasks
- Attract recruit develop retain talent
- Automate data creation and visualization
- Build scalable data platforms
- Convert AI use cases to production
- Define data requirements with stakeholders
- Define data science strategy
- Deliver data automation agenda
- Deploy real time decisioning
- Develop and optimize analytical models
- Ensure data governance
- Ensure regulatory compliance
- Govern AI proof of concept initiatives
- Implement agile delivery practices
- Improve fraud detection and prevention
- Lead data science data engineering analytics and AI teams
- Lead enterprise fraud reporting
- Lead fraud data architecture
- Manage data risk and governance frameworks
- Manage model risk
- Manage squad resources
- Manage stakeholder expectations
- Manage vendor selection for data solutions
- Monitor model performance
- Own data engineering for machine learning models
- Translate business requirements into data strategy
Perks/Benefits
- N/A
Skills/Tech-stack
Agile methodology | Artificial Intelligence | Data Architecture | Data Automation | Data Engineering | Data Governance | Data Mining | Data Visualization | Data Wrangling | Distributed Computing | Feature Engineering | Fraud Detection | Hadoop | Machine Learning | Model Risk Management | Model risk | Open Source | Predictive Modeling | Python | Real Time | Real-time Decisioning | Regulatory Compliance | Risk Management | SQL | Statistical Analysis
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