Staff Data Scientist - Fraud Strategy

The role

The Staff Data Scientist will lead fraud strategy by identifying emerging risks and developing scalable prevention and detection solutions. This person will design and optimize fraud controls and risk policies across the payment lifecycle.

What you will do

• Lead Coupang Pay's fraud strategy by identifying emerging risks and developing scalable prevention and detection solutions.
• Design, implement, and optimize fraud controls, decisioning strategies, and risk policies.
• Analyze large-scale transaction, behavioral, and fraud datasets to identify attack patterns and vulnerabilities.
• Partner with Product, Engineering, Data Science, Fraud Operations, and Compliance teams.
• Evaluate and leverage machine learning, AI, graph analytics, and other advanced technologies.
• Assess fraud risks associated with new products, payment methods, and business initiatives.
• Monitor fraud performance metrics and key business outcomes.
• Lead root-cause analyses of significant fraud incidents.
• Communicate fraud trends, risks, business impacts, and strategic priorities to leadership.

Required qualifications

• 8+ years of experience in fraud strategy, fraud risk management, fraud analytics, payments risk, or related fields.
• Experience leading fraud strategy initiatives in e-commerce, payments, fintech, card, or financial services environments.
• Strong analytical, problem-solving, and technical skills.
• Ability to leverage large-scale data, machine learning, and real-time decisioning systems.
• Experience developing, implementing, and optimizing fraud prevention and detection strategies.
• Proven ability to influence stakeholders and drive cross-functional initiatives.
• Professional proficiency in English with excellent verbal and written communication skills.
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Nice to have

• Advanced degree
• Experience applying advanced fraud techniques, including graph analytics, device intelligence, behavioral analytics, identity risk assessment, account takeover detection, AI/LLMs, or intelligent autom
• Hands-on experience with data analysis and programming tools such as Python, SQL, HIVE, or similar large-scale analytics platforms.
• Proven track record of optimizing fraud prevention strategies while balancing fraud loss, payment approval rates, customer experience, and business growth objectives.
• Experience building and scaling fraud capabilities in large, high-growth, data-driven organizations.
• Experience with card payments, issuer/acquirer risk management, chargeback management, or broader payment fraud ecosystems.

About the company

Coupang is a company that aims to wow customers by making shopping, eating, and living easier. It operates with a startup culture and the resources of a large global public company.