Senior Data Analyst
Core
Analyze user behaviors, product funnels, and transaction patterns to identify fraud risks and optimize AI/ML detection models for Grab's ecosystem.
Role type
Senior Data Analyst (Risk & Fraud)
Builds
Risk detection strategies, automated self-serve monitoring capabilities, and data-driven rules for fraud/AML prevention.
Domain
Fintech / Risk Management / Fraud Detection
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Presto, ETL, Power BI, Python, Excel, Statistical Analysis, Hypothesis Testing, Regression, Decision Trees, Feature Engineering, Graph-Based Detection
Preferred skills
Gen AI/LLM prompt engineering, Risk management domain knowledge (AML, eKYC)
Technologies
SQL, Presto, Spark, Power BI, Python, Excel
Responsibilities
Conduct deep-dive analysis on user behaviors and transaction patterns to identify fraud typologies; Develop data-driven rules and strategies using advanced methods like Graph-Based Detection; Architect automated self-serve capabilities for stakeholders to monitor risk metrics; Conduct statistical analyses to ensure detection system accuracy; Collaborate with business teams on data extractions and compliance audits; Conduct experiments to evaluate risk control effectiveness.
Seniority
Senior, hands-on IC