Staff Data Scientist - Fraud Strategy
Core
Lead Coupang Pay's fraud strategy to safeguard customers and the payment ecosystem from fraud, account takeover, and financial crime threats.
Role type
Staff Data Scientist (Fraud Strategy)
Builds
Scalable, technology-driven fraud prevention and detection solutions for Coupang Pay.
Domain
Fintech / Payments / E-commerce
Deliverable
production ML models
Required skills
Fraud strategy, risk management, machine learning, graph analytics, behavioral analytics, identity risk assessment, account takeover detection, large-scale data analysis, real-time decisioning systems, Python, SQL, HIVE
Preferred skills
AI/LLMs, intelligent automation, card payments, issuer/acquirer risk management, chargeback management, fraud capabilities scaling in high-growth organizations
Technologies
Python, SQL, HIVE, Machine Learning, Graph Analytics, AI/LLMs
Responsibilities
Identify emerging risks and develop scalable prevention/detection solutions; Design and optimize fraud controls and risk policies; Analyze transaction and behavioral datasets to identify attack patterns; Partner with cross-functional teams to translate insights into production rules and models; Evaluate and leverage advanced technologies for fraud detection; Assess fraud risks for new products/initiatives; Monitor fraud performance metrics and drive continuous improvement; Lead root-cause analyses of significant fraud incidents; Communicate fraud trends and strategic priorities to leadership.
Seniority
Staff, strategic IC with deep expertise
