Manager/Senior Manager, Analytics and Insights (PID)

Skills & Workforce Development Agency (SWDA); Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Skills & Workforce Development Agency (SWDA) is seeking a Senior Manager in the Planning and Intelligence Division (PID) to drive data-driven fraud analytics and risk management. You will collaborate with data scientists to develop advanced Fraud Analytics Models, review analytics parameters, and promote best practices across SWDA’s grant ecosystem.

The role emphasizes cross-functional collaboration, communication with stakeholders, and proficiency in Python, SQL, Tableau, and VBA to uncover

Qualifications

• Senior Manager with at least 6 years in data analytics or related fields.
• Strong analytical and conceptual abilities; can synthesize information.
• Proficient in statistics and data visualization tools.
• Can communicate findings clearly to stakeholders.
• Experience with fraud analytics is a plus.

Responsibilities

• Develop and maintain Fraud Analytics Models with data science team.
• Regularly review fraud analytics and claims analysis parameters to improve detection.
• Research and recommend advanced techniques and tools for fraud detection.
• Conduct pre- and post-disbursement claims analysis and identify anomalies.
• Collaborate with SWDA business units to ensure end-to-end fraud analytics coverage.

Skills

Data analytics

Statistical analysis

Python

SQL

Tableau

Communication

Stakeholder engagement

Project management

Tools

Tableau

Python

SQL

VBA

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

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 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.