Fraud Risk Analyst, Strategy & Analytics - KYC

About The Role

In response to evolving AI technologies lowering identity fraud costs, this position aims to fortify and refine the KYC risk management framework to effectively mitigate fraud risks while supporting sustainable company growth across various business functions including payments, credit, wallets, wealth management, and insurance.

Key Responsibilities

• Develop and enhance the KYC risk prevention framework with distinct risk detection and interception methods spanning all business verticals of the organization.
• Conduct comprehensive KYC risk evaluations for new business initiatives and processes, tailoring strategies that align with organizational risk tolerance.
• Formulate dynamic risk mitigation strategies based on research of black-market attack techniques, adjusting rules and thresholds to accurately identify high-risk activities.
• Establish monitoring mechanisms to evaluate the effectiveness of risk controls continually and iteratively enhance these controls through data analysis and case reviews to balance risk management and customer experience.
• Lead incident management and retrospective analyses for critical risk events, pinpoint root causes, and strengthen defense systems to avoid repeated vulnerabilities.
• Work collaboratively with cross-functional teams including business, product, technical, and algorithm units to implement and operationalize risk strategies systematically.

Qualifications

• Possess a Bachelor's degree or higher in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or related disciplines.
• At least one year of experience in relevant sectors such as risk management, fraud prevention, payments, financial services, or e-commerce.
• Demonstrate strong analytical capabilities and data management expertise.
• Proficiency in SQL is mandatory; familiarity with programming languages and machine learning algorithms is advantageous.