Grab is hiring a Data Analyst (Risk analytics) for its full-time team at Aster (East Wing), Embassy Tech Village, K. The role is suited to candidates with a Bachelor’s Degree in Analytics, Statistics, Computer Science, or a related field, along with 1+ years of experience. The analyst will study user behaviour and product funnels, identify risks across account security, user safety and content integrity, and turn findings into risk signals and data-driven rules. It is worth considering for the opportunity to work across experimentation, anomaly detection, GenAI-enabled risk frameworks and business-critical data programmes.
Company Overview
Grab is a consumer technology company whose products generate large volumes of user, product and transaction data. Its risk analytics work spans account security, user safety and content integrity, giving analysts exposure to problems that combine business performance, product behaviour and platform protection.
Job Details
| Company Name | Grab |
| Job Role | Data Analyst (Risk analytics) |
| Qualification | Bachelor’s Degree in Analytics, Statistics, Computer Science, or a related field |
| Salary | Rs. 8-12 LPA (estimated) |
| Job Location | Bengaluru |
| Experience | 1+ years of experience |
| Employment Type | Full-time |
Role Overview
This role focuses on using analytics to understand where user and product journeys may create risk, and on converting those findings into measurable controls. The work combines analysis, visualisation, experimentation and risk-focused data development across both existing and emerging frameworks.
- Analyse user behaviour and product funnels to identify potential risk patterns.
- Assess risk performance across account security, user safety and content integrity.
- Develop risk signals and data-driven rules that support risk monitoring and decision-making.
- Apply GenAI and auto-adaptive risk frameworks to improve how risks are identified and managed.
- Contribute to data programmes involving metric onboarding, data pipeline cleanups and architectural efficiency.
Eligibility & Qualifications
- A Bachelor’s Degree in Analytics, Statistics, Computer Science, or a related field.
- 1+ years of experience.
Key Responsibilities
- Examine user behaviour data and product funnel movement to locate areas that may indicate account, safety or content-related risk.
- Translate analytical findings into risk signals that can be used to monitor or investigate emerging patterns.
- Create data-driven rules for risk analysis, using relevant statistical techniques and experimentation approaches.
- Evaluate business and product risk performance and communicate findings through suitable data visualisations.
- Use anomaly detection methods to distinguish unusual activity from normal user or product behaviour.
- Support the onboarding of metrics into data programmes so that risk performance can be measured consistently.
- Help clean up data pipelines and contribute to improvements in architectural efficiency.
- Explore the use of GenAI and auto-adaptive risk frameworks in analytics workflows.
Skills Required
- SQL and Python.
- Data visualisation tools such as Power BI and Tableau.
- Understanding of AI/ML concepts and GenAI tools.
- System-thinking for connecting product behaviour, data and risk outcomes.
- Statistical techniques and experimentation.
- Risk analysis and anomaly detection.
Why Join Grab
The role offers practical exposure to several high-impact risk areas rather than limiting the analyst to a single reporting workflow. Candidates can also work with GenAI, auto-adaptive risk frameworks, experimentation and data architecture improvements while contributing to programmes that affect how risk performance is measured.
How to Apply for Grab Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
