Fraud Risk Analyst, Strategy & Analytics - Payment

Job Overview

This role involves developing and executing risk management policies specifically for ShopeePay, aiming to promote sustainable business growth and ensure compliance with relevant standards. The analyst will lead initiatives to prevent fraud, such as account takeovers, stolen card usage, and various scams, and will design strategies to mitigate promotional misuse and risks associated with payment channels. A key function includes supporting compliance measures to maintain operational integrity.

Key Responsibilities

• Formulate and implement policies to manage business risks effectively for ShopeePay.
• Develop and enhance anti-fraud frameworks to safeguard against threats including account takeovers, stolen card activities, and scams.
• Create and monitor key performance indicators and fraud detection metrics to track risks and evaluate effectiveness of controls.
• Work closely with local teams to gather and refine system and operational requirements.
• Partner with Product and Engineering teams to oversee the execution of implementation plans and ensure on-time delivery.
• Perform data-driven analyses regarding daily risk exposures and convey insightful findings and recommendations to senior leadership.
• Assess operational and market trends to determine the organization’s competitive stance and identify new risk factors or opportunities.
• Develop analytical dashboards and reports to continuously monitor performance, detect abnormalities, and enhance policies and processes.

Qualifications and Experience

• Bachelor’s degree in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, or related discipline.
• At least one year of relevant experience in risk management, fraud prevention, payments, financial services, or e-commerce sectors.
• Strong analytical and problem-solving capabilities with practical experience in data management and statistical analysis.
• Proficiency with SQL and Python programming languages.
• Demonstrated success in converting data-driven insights into actionable strategies that positively impact business outcomes.
• Ability to effectively manage ambiguity and complexity to achieve measurable goals.
• Exceptional attention to detail, with skill in spotting inconsistencies or anomalies in data.
• Effective communicator, able to convey complex results to both technical and non-technical stakeholders.
• Experience in e-wallets, payments, banking, or e-commerce industries is advantageous.