- Experience
- 1+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- In office
- Education
- Bachelor's degree
- Eligibility
- Candidates with a bachelor’s degree in a quantitative or business-related discipline and at least 1 year of relevant experience are preferred. Applicants should be able to work onsite in Singapore and be open to travel up to around 30% for work-related needs.
- Resume
- Required to apply
Where you'll work
Job description
Role overview
This position focuses on strengthening internal fraud detection and compliance monitoring across regional operations. The role uses data-led analysis to uncover suspicious patterns, assess control weaknesses, and turn findings into practical monitoring rules and process improvements.
Key responsibilities
- Work with large volumes of data to spot fraud indicators, irregular activity, and new internal risk patterns, then convert those findings into workable detection rules and control measures.
- Track fraud alerts, behavioural trends, and core performance metrics such as detection efficiency and case results using dashboards and recurring reports.
- Assist ongoing investigations by examining data, collecting supporting evidence, and testing possible explanations or scenarios.
- Perform root-cause analysis by connecting data observations to business workflows and identifying where controls are missing or weak.
- Collaborate with teams across operations, product, and business intelligence to improve detection strength and close identified gaps.
- Suggest and help implement improvements that can scale fraud monitoring while keeping operations efficient.
- Look for ways to refine detection rules, working processes, and automation opportunities.
- Be prepared to travel up to around 30% of the time for investigation support, stakeholder discussions, process review, and on-site checks when needed.
- Take on other duties as assigned from time to time.
Requirements
- A bachelor’s degree in a relevant field such as Business Administration, Business Analytics, Economics, Finance, Accounting, Statistics, Mathematics, Information Systems, Computer Science, or another quantitative or business-related discipline.
- Preferably at least 1 year of experience in fraud detection, risk analytics, operations risk, or a comparable area.
- Working knowledge of SQL and Python; exposure to generative AI tools is an added advantage.
- Strong analytical ability and experience handling large datasets to uncover trends, anomalies, and useful insights.
- Capacity to connect data findings with operational practices and wider business processes.
- High initiative and ownership, with the ability to drive tasks and projects forward toward business objectives.
- Comfort working in a fast-changing, collaborative environment.
- Background in technology, e-commerce, or platform-based businesses will be considered an advantage.
Additional information
This role involves approximately 30% travel.
Other ad-hoc duties may be assigned as needed.