Grab
Technology
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Analyst at Grab. Skills: Data analysis, Fraud detection, Risk management, Statistical analysis. Analyze fraud loss. Analyze business performance”
Industry & Context.
Root cause analysis; Data-driven insights
What They're Looking For.
Must Have
4+ years of experience in data-related or quantitative fields, Bachelor's Degree in Analytics, Statistics, Software, Mathematics, Economics, Computer Science, or Engineering, Proficiency in SQL, Proficiency in Presto, Proficiency in ETL, Proficiency in Power BI, Proficiency in Python, Proficiency in Excel, Experience with experimentation and statistical techniques, Intermediate understanding of Gen AI/LLM's, Early hands-on exposure to Gen AI/LLM's, Proficiency in prompt engineering, Proficiency in query optimization, Proficiency in automated insight generation, Proficiency in Feature Engineering, Focus on data utility and feature logic
Nice to Have
Understanding of risk management, Understanding of fraud, Understanding of compliance space, Experience in AML, Experience in eKYC, Experience in digital ecosystems
What You'll Do.
Analyze business performance
Analyze product performance
Analyze risk control effectiveness
Identify new fraud patterns
Identify new risk patterns
Develop data-driven rules
Develop data-driven strategies
Conduct statistical analyses
Ensure accuracy of detection systems
Ensure efficiency of detection systems
Maintain data integrity
Maintain rule integrity
Architect automated self-serve capabilities
Monitor key risk metrics
Monitor attack patterns
Monitor fraud detection efficiency
Monitor AML detection efficiency
Support data extractions
Support compliance requirements
Provide data for assessments
Evaluate effectiveness of risk controls
Recommend improvements
How You'll Work.
Team & Collaboration
Grab business teams
Full Job Description
About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Team The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys. Get to Know the Role Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime. This role is based onsite in our Petaling Jaya office. The Critical Tasks You Will Perform * You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business
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