Conduct incident response and traceability analysis for traffic security incidents in the e-commerce field, sort out attack paths and defense vulnerabilities, and output standardized incident analysis reports and optimization suggestions.
Currently pursuing a Undergraduate in Computer Science, Computer Engineering or a related technical discipline.
Gain a deep understanding of machine learning fundamentals and master anomaly detection, graph neural networks, temporal modeling, and cluster analysis. Good data analysis skills, with experience in security log analysis/mining, and strategy development.
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Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.
Currently pursuing a Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
Strong interest in Generative AI and Large Language Models (LLMs), with an understanding of common LLM capabilities and real-world application scenarios.
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Collaborate with or lead the development of broadcaster supply growth strategies and product solutions for global operations.
Partner with cross-functional teams including engineering, algorithm, operations and design to independently manage full project cycles, drive the implementation of platform product capabilities, conduct global training, and oversee adoption and promotion.
Individuals who are completing or have recently completed a Bachelor’s degree or above in any major
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Design and implement A/B experiments to evaluate model/strategy effectiveness, calculate ROI of anti-fraud initiatives, and scale high-impact solutions across global markets.
Bachelor’s degree or above in Mathematics, Statistics, Computer Science, Business Analytic, or related fields (or post-graduation experience in data modeling/analysis).
Proficient in SQL and Tableau; skilled in Python/R for data analysis, model building, and visualization.
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Build intelligent, scalable and reusable risk strategy capabilities that can be rapidly adapted across different products, business scenarios and emerging abuse patterns.
Collaborate with engineering teams to continuously improve the end-to-end risk intelligence framework covering risk perception, feature mining, detection, decision making, intervention, governance and continuous strategy optimization.
Explore and build AI Agent powered risk defense systems, leveraging large language models and autonomous workflows to enable automated risk investigation, automated content review, automated strategy generation, intelligent feature mining, defense policy deployment, appeal processing and continuous strategy evolution.
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Conduct root cause analysis (RCA) on quality failures and drive corrective action plans (CAPs) with vendor partners through to closure
Own end-to-end CSAT performance across vendor sites, including target setting, trend monitoring, and driver analysis (DSAT deep dives by category, language, site, and agent cohort)
Translate CSAT/DSAT insights into actionable improvement programs — coaching frameworks, process fixes, knowledge base gaps, and policy clarifications
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Incident Response & Mitigation: Manage and respond to cybersecurity incidents, pinpointing affected systems and clearly outlining risks and exposures.
External Collaboration & Communication: Engage with external security experts and communicate complex technical information effectively to diverse audiences.
Program Effectiveness & Disclosure: Utilize data to measure security program effectiveness and coordinate the responsible disclosure of vulnerabilities.
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Mitigate Critical Risks: Proactively identify systemic vulnerabilities to prevent high risk quality failures that could impact the integrity of our operations and stakeholder trust.
Perform Root Cause Analysis: Lead deep-dive investigations into quality failures or "near-misses," identifying root causes and implementing corrective and preventive action plans.
Create Data-Driven Insights: Build automated dashboards and reporting pipelines to provide leadership with real-time visibility into compliance health and quality trends.
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