Senior Manager, Analytics and Insights (PID)

Requirements

• Proficient in executing job duties with required competencies.
• Senior Manager: at least 6 years of experience in data analytics, computer/data science, statistics, applied mathematics, business analytics
• Good analytical skills and conceptual abilities, with a keen eye for identifying key issues and synthesising diverse information into coherent frameworks.
• Proficiency in quantitative analysis is essential, including the application of statistical techniques and tools such as Tableau, Python, SQL, and VBA to uncover insights and trends, and the ability to communicate these findings in clear, accessible terms.
• Demonstrates good writing, communication, stakeholder engagement, and project management skills.
• Note: This is an individual contributor role.
• Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure
• Candidates are encouraged to sign up for a Careers & Skills Passport (CSP) account and include your CSP public profile in your resume. Please check out www.myskillsfuture.gov.sg for details on the CSP.

Benefits

Additional Information

[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]

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