Senior Data Analyst - Fraud & Risk Intelligence

Grab; Petaling Jaya; Sur place; MYR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

Flexible hours

Résumé du poste

Grab is seeking a data analytics professional to join the Integrity team in Petaling Jaya. You will analyze fraud loss, product funnels, and transaction patterns to guide risk detection strategies and ML model improvements.

You will create automated dashboards and data feeds for stakeholders, ensuring data integrity and effective risk controls across Grab’s ecosystem. The role requires deep analytical skills, SQL/Presto proficiency, and experience with experimentation and statistical techniques,

Qualifications

• At least 4 years of experience in data-related or quantitative fields.
• Bachelor’s degree in analytics, statistics, computer science, engineering, or related.
• Proficiency in SQL, Presto, ETL, Power BI, Python, and Excel.

Responsabilités

• Be the subject matter expert in using data to analyze fraud loss, performance, and risk controls across Grab’s verticals (Integrity team).
• Lead identification of new fraud patterns and develop data-driven rules using advanced methods.
• Conduct statistical analyses to ensure accuracy and efficiency of detection systems.
• Architect automated self-serve capabilities for stakeholders to monitor risk metrics and detection performance.
• Collaborate with business teams to support data extractions, audits, and compliance requirements.

Connaissances

SQL

Presto

ETL

Power BI

Python

Excel

Gen AI/LLM

Feature Engineering

Formation

Bachelor's Degree in Analytics/Statistics/CS/Engineering

Description du poste

Grab is seeking a data analytics professional to join the Integrity team in Petaling Jaya. You will analyze fraud loss, product funnels, and transaction patterns to guide risk detection strategies and ML model improvements.

You will create automated dashboards and data feeds for stakeholders, ensuring data integrity and effective risk controls across Grab’s ecosystem. The role requires deep analytical skills, SQL/Presto proficiency, and experience with experimentation and statistical techniques,