Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.

Key Responsibilities

Job Responsibilities/ 工作职责 :

• Lead the development and execution of data analysis projects to support fraud detection, operational monitoring, business intelligence, and performance reporting.
• Work closely with stakeholders to understand business problems, define KPIs, and deliver actionable insights and recommendations.
• Build and maintain automated dashboards and reports that support strategic and operational decision-making across teams.
• Support fraud and risk control initiatives through data analysis of transaction patterns, behavioral signals, and case investigation metrics.
• Partner with AI/ML engineers and data scientists to develop, evaluate, and deploy models that enhance automation and intelligence in business operations.
• Collaborate on the design and application of large language models (LLMs) and other AI tools to solve analytical and operational challenges.
• Drive data storytelling and visualization to clearly communicate trends, risks, and opportunities.
• Document analytical processes, KPIs, and data definitions to maintain high standards of data governance.
• Mentor junior analysts and contribute to the development of best practices in analytics, AI applications, and reporting.
  
  
  

Key Qualifications

• Bachelor's or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• 5+ years of experience in data analysis or business intelligence, with exposure to risk or fraud analytics considered a plus.
• Strong SQL skills and proficiency in Python, R, or other analytical programming languages.
• Experience with business intelligence tools such as Tableau, Power BI, or QuickSight.
• Familiarity with AI/ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and understanding of LLM concepts (e.g., embeddings, prompt engineering).
• Experience leveraging AI tools (e.g., ChatGPT, Claude, LangChain) for data exploration, reporting automation, or business solution development.
• Strong communication and collaboration skills, with experience working cross-functionally.
• Ability to translate complex data findings into clear business insights.
• Organized, detail-oriented, and capable of managing multiple analytical projects.
  
  
  

Nice To Have

• Experience in fintech, e-commerce, or digital payments industries.
• Hands-on experience developing or implementing AI/ML or GenAI solutions in business environments.
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
  
  
  

Pre-Requisites/ 任职要求

Are you game?