- Sims Avenue Geylang Southeast (Singapore) Singapore

Working Location
Job Description
Responsibilities
[What the role is]
What the role is[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
Note: This is an individual contributor role.
Successful candidate will be offered a 1-year contract with potential for a 1-year extension and consideration for permanent tenure thereafter.
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 ************* for details on the CSP.
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