Data Analyst (Risk analytics)

📋 Description

• Address analytical problems of low to medium complexity, delivering reliable and accurate insights
• Analyse user behaviour data to identify potential vulnerabilities across multiple risk domains
• Brainstorm on new signals to detect risks, working with partners to develop data-driven rules that
• Use GenAI tools like Cursor or Gemini and basic system-thinking to automate routine metric reviews
• Use components of the Auto-Adaptive risk frameworks as tools to help in the operational validation
• Contribute to foundational data programmes, such as metric onboarding, data pipeline cleanups, and

🎯 Requirements

• 1+ years of experience in data-related or quantitative fields.
• Bachelor's Degree in Analytics, Statistics, Computer Science, or a related field.
• Proficiency in SQL, Python, and data visualisation tools (e.g., Power BI, Tableau).
• Fundamental awareness of AI/ML concepts and system-thinking, with eagerness to learn how to use
• Understanding of basic statistical techniques and experimentation.

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex: create a benefits package that suits your needs and aspirations.
• Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
• Confidential Grabber Assistance Programme to guide and uplift you and your loved ones.
• FlexWork arrangements such as differentiated hours.