Director, Fraud Data and Analytics
Toronto, ON, CA, M5H 1H1
CAD 103K-185K (estimate) Executive-level Full Time
Tasks
- Build fraud feature stores and analytical datasets
- Champion agile delivery and DataOps and MLOps
- Define data quality controls and lineage practices
- Define target state fraud data architecture and operating model
- Deliver fraud intelligence and actionable insights
- Develop fraud data and analytics strategy
- Drive anomaly detection and predictive analytics
- Enable full machine learning lifecycle with governance
- Enable network analytics and graph intelligence
- Ensure platform resiliency and disaster recovery readiness
- Ensure regulatory compliance and information security
- Establish data governance frameworks
- Establish reporting and visualization platforms
- Establish roadmaps for fraud data platforms and data products
- Implement MLOps and analytical operations
- Lead and develop multidisciplinary technical teams
- Lead fraud data platforms and feature engineering
- Set performance metrics and service level objectives
Perks/Benefits
Skills/Tech-stack
AI | Anomaly Detection | Azure | Behavioral Profiling | Cloud Platforms | Cloud platform | Data Architecture | Data Engineering | Data Governance | Data Lakes | Data Lineage | Data Quality | Data Stewardship | Feature Engineering | Fraud Detection | Fraud analytics | Fraud intelligence | Google Cloud | Google Cloud Platform | Graph intelligence | Information security | MLOps | Machine Learning | Model Explainability | Model Monitoring | Network Analytics | Predictive Analytics | Regulatory Compliance | Reporting and Visualization | Streaming Platforms
Education
N/A
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