Senior Fraud Analyst (LINE Pay)

What you'll Do:

Fraud Prevention & Leakage Control

• Execute daily fraud review tasks to screen transactions before payment processing across LINE MAN and LINE Pay
• Monitor fraud queues, flagged accounts, and real-time alerts - triage and prioritize cases for action or clearance
• Identify gaps in existing fraud controls and proactively close exposure before losses occur
• Analyze fraud trends and emerging attack vectors across ride-hailing, delivery, and payment verticals
• Monitor and quantify fraud leakage by vertical; provide data-driven recommendations to reduce financial exposure
• Leverage AI and automation tools to accelerate detection and enable fast rule adjustment against new fraud patterns
• Design, test, and implement fraud detection rules based on transaction analysis, behavioral signals, and investigation findings
• Build analytical frameworks to track fraud patterns, monitor rule performance, and surface new risk signals
• Use SQL to independently query databases for case investigation, rule evaluation, and ad hoc analysis
• Produce regular fraud reports and trend analysis for senior leadership and cross-functional stakeholders
• Conduct end-to-end investigations covering all party types: customers, drivers/fleet, merchants, and third-party abuse across LINE MAN and LINE Pay

Internal Fraud Review

• Identify and investigate internal fraud risks involving platform actors including drivers, merchants, and operational parties
• Analyze patterns that may indicate coordinated internal abuse, collusion, or system manipulation
• Escalate confirmed or suspected internal fraud cases through appropriate channels with full documentation
• Assist in designing controls to detect and deter internal fraud across LINE MAN and LINE Pay operations

What You’ll Need

• Bachelor's degree in Business Administration, Finance, Accounting, Statistics, Engineering, or a related field
• 2+ years of experience in fraud analysis, fraud investigation, or risk operations
• Experience in e-commerce, ride-hailing, payments, or fintech is a strong advantage
• Solid understanding of fraud typologies relevant to digital platforms - account takeover, promo abuse, payment fraud, driver fraud, merchant fraud
• Basic SQL proficiency - ability to write queries for data extraction, filtering, and investigation is required
• Proficiency in Excel and/or Google Sheets for analysis and reporting
• Strong analytical thinking with attention to detail and ability to identify irregular patterns at scale
• Excellent communication and coordination skills across teams
• Proactive, organized, and comfortable working in a fast-paced environment with shifting priorities