Data Analyst (Risk analytics) Job Openings in Bangalore 2026!!!
Grab announced job vacancy for the post of Data Analyst (Risk analytics).The place of posting will be at Bangalore.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Grab |
| Required Qualifications | Graduate |
| Skills | SQL, Python, and data visualisation tools (e.g., Power BI, Tableau) |
| Category | Risk analytics |
| Work Type | Onsite |
The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. They use their datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Their core mission involves analysing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, they use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis capabilities.
Reporting to the Analytics Manager, you will be an important analytics partner focused on Trust and Safety for a specific Problem Space Team (PST). Your primary focus will analyse user behaviour and product funnels to identify potential risks. To do this, you will use their evolving auto-adaptive tools and GenAI capabilities to improve your daily analytical workflow.
Job Details
Θ Positions: Data Analyst (Risk analytics)
Θ Job Location: Bangalore
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 744000150317835
Roles and Responsibilities:
- Address analytical problems of low to medium complexity, delivering reliable and accurate insights to measure business and product risk performance.
- Analyse user behaviour data to identify potential vulnerabilities across multiple risk domains, including account security, user safety, and content integrity, assisting in the building of anomaly detection systems.
- Brainstorm on new signals to detect risks, working with partners to develop data-driven rules that reduce bad actors.
- Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
- Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
- Contribute to foundational data programmes, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains reliable.
- Adopt organisational best practices, proactively communicate progress, and independently implement moderately difficult tasks with guidance to address clear sources of ambiguity.
Required Skills & Qualifications:
- 1+ years of experience in data-related or quantitative fields.
- A 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 an eagerness to learn how to use these technologies as tools for better risk analysis.
- Understanding of basic statistical techniques and experimentation.
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