Internal Compliance

• Review and assess reported or detected cases of suspected fraud and corruption breaches, including evidence and fact gathering; analysis of data, and conducting interviews with relevant parties
• Assess evidence objectively to establish facts, identify the fraud modus operandi, and determine the underlying circumstance(s) and root cause(s)
• Prepare clear, evidence-based investigation findings and recommendations for appropriate remediation, control improvements or further action
• Review business processes, workflows and controls to identify weaknesses that may enable fraud, misconduct and/ or control override
• Conduct targeted or special reviews in areas with elevated fraud risk or where enhanced safeguards are required.
• Identify opportunities to strengthen preventive and detective controls in existing processes and workflows
• Develop and manage fraud detection initiatives from end to end, including identifying risk areas, develop data-driven hypotheses, analysing relevant data, validating results and supporting implementation
• Use SQL, AI-enabled analytical tools to identify unusual transactions, behavioral patterns, relationships and potential fraud indicators
• Translate investigation outcomes and analytical findings into practical detection rules, risk indicators and monitoring workflows
• Continuously enhance detection logic, workflows, and automation based on validated cases, recurring signals, emerging fraud risks,and changes in business processes
• Partner with cross-functional teams, including operations, product, business intelligence,to design and implement preventive controls, improve detection capabilities and close identified control gaps
• Communicate investigation findings, process improvement recommendations and detection insights clearly to stakeholders at appropriate levels
• Contribute to the continuous improvement of investigation methodologies, prevention reviews and detection capabilities
• Translate fraud trends and case lessons into practical communications, anonymized case studies and awareness materials
• Contribute to the continuous improvement of investigation methodologies, preventive reviews, fraud-detection capabilities and team procedures
• Perform other ad-hoc reviews, analysis, investigations and related duties as assigned

Requirements

• Bachelor’s degree in Business Analytics, Economics, Finance, Accounting, Statistics, Mathematics, Information Systems, Computer Science, or any other relevant quantitative or business-related discipline.
• 2 to 5 years of relevant experience in data analytics, fraud detection, risk analytics, operations risk, business intelligence or similar roles preferred
• Strong analytical capability and experience working with large or complex datasets to identify trends, anomalies, relationships and actionable insights
• Proficiency in SQL; experience with Python is advantageous
• Familiarity with generative AI and other AI-enabled tools for analysis, research, coding or workflow automation is a plus
• Ability to quickly understand unfamiliar business processes and connect data signals to underlying behavior, operational practices and potential control weaknesses
• An investigative mindset and risk intuition, including the ability to ask the right questions, develop hypotheses, challenge assumptions and understand the “why” and “how” behind unusual activity
• Sound judgment and structured problem-solving skills
• Strong interpersonal and communication skills, with the ability to explain findings clearly and collaborate effectively across functions
• Agility in thinking, intellectual curiosity and strong sense of ownership in driving work through to practical outcomes
• High standards of integrity with attention to detail and confidentiality
• Fluency in written and verbal English and Bahasa Melayu. Any additional language proficiency is a plus
• Experience in tech, e-commerce, marketplaces or other platform businesses is advantageous