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About the Role
Coupang Pay is seeking a Staff Data Scientist to safeguard customers and the payment ecosystem from fraud, account takeover, payment abuse, and financial crime threats. This role is for a strategic, data-driven fraud owner passionate about solving complex risk challenges and delivering measurable business impact. The ideal candidate will combine fraud expertise, analytical rigor, curiosity, and a builder's mindset to develop scalable, technology-driven solutions with minimal customer friction, shaping the future of fraud prevention at Coupang Pay.
Responsibilities
- Lead Coupang Pay's fraud strategy by identifying emerging risks and developing scalable prevention and detection solutions across the payment lifecycle.
- Design, implement, and optimize fraud controls, decisioning strategies, and risk policies to reduce fraud losses while maximizing payment approval rates and customer experience.
- Analyze large-scale transaction, behavioral, and fraud datasets to identify emerging attack patterns, vulnerabilities, and opportunities for risk mitigation.
- Partner with Product, Engineering, Data Science, Fraud Operations, and Compliance teams to translate insights into production-ready rules, models, and fraud prevention capabilities.
- Evaluate and leverage machine learning, AI, graph analytics, and other advanced technologies to enhance fraud detection, investigation, and operational efficiency.
- Assess fraud risks associated with new products, payment methods, and business initiatives, and recommend appropriate risk controls.
- Monitor fraud performance metrics and key business outcomes, driving continuous improvements through experimentation, analysis, and data-driven decision making.
- Lead root-cause analyses of significant fraud incidents and provide strategic recommendations to strengthen Coupang Pay's fraud defenses.
- Communicate fraud trends, risks, business impacts, and strategic priorities to leadership and cross-functional stakeholders.
Requirements
- 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, with the ability to leverage large-scale data, machine learning, and real-time decisioning systems to develop scalable fraud prevention solutions and drive business impact.
- Experience developing, implementing, and optimizing fraud prevention and detection strategies.
- Proven ability to influence stakeholders and drive cross-functional initiatives across Product, Engineering, Data Science, Fraud Operations, and Compliance organizations.
- 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; advanced degree preferred.
Skills
- Graph analytics
- Device intelligence
- Behavioral analytics
- Identity risk assessment
- Account takeover detection
- AI/LLMs
- Intelligent automation
- Python
- SQL
- HIVE
- Large-scale analytics platforms
- Card payments
- Issuer/acquirer risk management
- Chargeback management
- Payment fraud ecosystems
Work Type
- Full-time
Experience Level
- 8+ years
Education Level
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
- Advanced degree preferred
About the Company
- Coupang aims to wow customers by making shopping, eating, and living easier, disrupting the commerce industry in South Korea.
- The company offers a startup culture with the resources of a large global public company, fostering growth and innovation.
- Coupang is driven by entrepreneurs who are bold, ambitious, and seek to make a hands-on impact.
- The mission is to build the future of commerce by pushing boundaries and solving problems.
- Join Coupang to create an epic experience in an always-on, high-tech, and hyper-connected world.
Equal Opportunity
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.