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 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