FraudPreventionInvestigationLead

## Accountabilities Review and assess user-submitted materials flagged for potential fraud or risk, ensuring accurate and consistent decision-making Conduct in-depth case investigations to identify fraud patterns, reconstruct attack chains, and analyze operational tactics used by malicious actors Develop and refine fraud detection models, risk signals, and operational review processes to improve efficiency and accuracy Monitor risk trends, system performance, and fraud indicators to identify emerging threats and vulnerabilities Build and maintain early warning systems to proactively detect and mitigate potential fraud risks Provide data-driven recommendations to improve risk control tools, workflows, and overall operational effectiveness Collaborate closely with product, engineering, compliance, legal, and business teams to integrate risk controls into systems and new product launches Contribute to continuous improvement of fraud prevention frameworks and operational risk strategies Document findings, insights, and case learnings to support knowledge sharing and long-term risk mitigation Requirements: Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, Economics, or a related field 3+ years of experience in risk management, fraud prevention, financial risk, fintech, or consulting environments Strong experience in case investigation, risk review processes, or fraud analysis methodologies Proficiency in data analysis tools such as SQL, Hive, and Excel for investigation and reporting purposes Strong understanding of risk control operations and fraud detection techniques within digital or financial platforms Excellent analytical thinking with the ability to identify patterns, reconstruct fraud scenarios, and derive actionable insights Strong communication and collaboration skills with experience working across technical and non-technical teams High attention to detail, strong sense of accountability, and ability to perform under pressure Strong curi