SWDA

SeniorManager,AnalyticsandInsights(PID)

S$140–210k ~AI est. Singapore, Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

Problems you'll solve

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

Free ATS check

Applying for this Senior Manager, Analytics and Insights (PID) role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about SWDA?

Real rants from real employees. Read before you apply.

Read Company Rants →