Senior Data Analyst at Grab

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Conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify
Lead the identification of new fraud and risk patterns, developing data-driven rules and strategies
Conduct statistical analyses to ensure accuracy and efficiency of detection systems, maintaining
Architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack
Collaborate with Grab business teams to support data extractions, audits, and compliance
Conduct experiments to evaluate the effectiveness of risk controls and recommend improvements.

At least 4 years of experience in data-related or quantitative fields.
Bachelor's Degree in Analytics, Statistics, Software, Mathematics, Economics, Computer Science, or
Proficiency in SQL, Presto, ETL, Power BI, Python, and Excel.
Experience with experimentation and statistical techniques (hypothesis testing, probability
Intermediate understanding and early hands-on exposure to Gen AI/LLMs including prompt engineering
Proficiency in Feature Engineering (SQL, Spark) to build data inputs for models.

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