SWDA
SeniorManager,AnalyticsandInsights(PID)
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“Senior Manager, Analytics and Insights (PID) at SWDA. Skills: Fraud Analytics Models, Data Analysis, Risk Management. Develop Fraud Analytics Models. Enhance Fraud Analytics Models”
Industry & Context.
Analytical skills; Conceptual abilities; Identifying key issues; Synthesising information
What They're Looking For.
Must Have
6 years of experience in data analytics, 6 years of experience in computer/data science, 6 years of experience in statistics, 6 years of experience in applied mathematics, 6 years of experience in business analytics, Proficiency in quantitative analysis, Proficiency in statistical techniques, Proficiency in Tableau, Proficiency in Python, Proficiency in SQL, Proficiency in VBA
Nice to Have
PhD preferred
What You'll Do.
Develop Fraud Analytics Models
Enhance Fraud Analytics Models
Maintain Fraud Analytics Models
Perform assessments of fraud analytics
Perform assessments of claims analysis parameters
Research advanced techniques
Recommend advanced techniques
Research advanced tools
Recommend advanced tools
Translate findings into actionable data features
Conduct pre-disbursement claims analysis
Conduct post-disbursement claims analysis
Conduct in-depth thematic analysis
Work closely with business units
Ensure comprehensive coverage of fraud analytics
Promote best practices in fraud detection
Promote best practices in risk management
How You'll Work.
Team & Collaboration
Collaborate with data scientists; Work closely with business units
Communication Scope
Communicate findings
Process & Methodology
Project management
Full Job Description
**[What the role is]** What the role is Planning and Intelligence Division (PID) is part of SWDA’s Incentives Management and Enforcement Group (IMEG). IMEG drives organisational excellence by delivering trusted, data-driven operations that strengthen governance, manage risk, and safeguard public confidence. The candidate will play a role in safeguarding the integrity of SWDA’s grant ecosystem by contributing to the formulation and review of strategies and policies aimed at countering external fraud and abuse. **[What you will be working on]** **What you will be working on** Reporting to the team lead, the successful candidate will be responsible for the following responsibilities: **Responsibilities and Competencies** **Implement Data Science Projects** : Collaborate with data scientists to develop, enhance, and maintain Fraud Analytics Models (FAM) aimed at effective fraud and abuse risk management. _(Competency: Fraud Risk Management)_ **Conduct Periodic Reviews** : Perform regular assessments of fraud analytics and claims analysis parameters to improve detection methods for emerging fraud and abuse patterns and anomalous risk scenarios. _(Competency: Fraud Risk Identification & Assessment)_ **Recommendation of Techniques/Tools** : Research and recommend advanced techniques and tools for detecting emerging fraud and abuse risks, translating findings into actionable data features for FAMs. _(Competency: Risk Assessment)_ **Claims Analysis** : Conduct pre- and post- disbursement claims analysis and in-depth thematic analysis to detect anomalous claims patterns. _(Competency: Data Management and Analysis)_ **Collaboration with SWDA Business Units** : Work closely with relevant business units to ensure comprehensive coverage of fraud analytics across end-to-end processes, promoting best practices in fraud detection and risk management. _(Competency: Stakeholder Engagement)_ **[What we are looking for]** **What we are looking for** * Proficient in executing job duties
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