Manager/Senior Manager, Analytics and Insights (PID)
Core
Formulate and review strategies and policies to counter external fraud and abuse within SWDA's grant ecosystem, while implementing data science projects to develop and maintain Fraud Analytics Models (FAM).
Role type
Senior Manager, Fraud Analytics and Risk Management
Builds
Fraud Analytics Models (FAM) and detection parameters for SWDA's grant ecosystem
Domain
Public sector / Government / Fraud Risk Management
Deliverable
production ML models | dashboards & analysis
Required skills
Fraud risk management, statistical analysis, quantitative analysis, claims analysis, data management, project management, stakeholder engagement
Preferred skills
Advanced techniques for fraud detection, thematic analysis
Technologies
Tableau, Python, SQL, VBA
Responsibilities
Implement Data Science Projects to develop and maintain Fraud Analytics Models (FAM), Conduct Periodic Reviews of fraud analytics and claims analysis parameters, Recommend Techniques/Tools for detecting emerging fraud risks, Conduct pre- and post-disbursement claims analysis and thematic analysis, Collaborate with SWDA Business Units to ensure comprehensive coverage of fraud analytics
Seniority
Senior Manager, 6+ years experience