BENGALURU · FULLTIME
Data Analyst (Risk analytics)
Grab Greco
Bengaluru · onsite · Posted 30d ago
Sourced from
Undisclosed1–6 yrsfulltimeBengaluru
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Section · 01
About this role
Job Description
Get to Know the Team
The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We use our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analysing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, we use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis capabilities.
Get to Know the Role
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 our evolving auto-adaptive tools and GenAI capabilities to improve your daily analytical workflow.
The Critical Tasks You Will Perform
- 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. Qualifications
What Essential Skills You Will Need
- 1+ years of experience in data-related or quantitative fields.
- A Bachelors 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. Get to Know the TeamThe Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We use our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analysing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, we use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis capabilities. Get to Know the RoleReporting 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 our evolving auto-adaptive tools and GenAI capabilities to improve your daily analytical workflow. The Critical Tasks You Will Perform 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. Qualifications: What Essential Skills You Will Need 1+ years of experience in data-related or quantitative fields. A Bachelors 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. Additional Information: Life at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:We have your back with Term Life Insurance and comprehensive Medical Insurance.With GrabFlex, create a benefits package that suits your needs and aspirations.Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leaveWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For At GrabWe are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.">
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Data Analyst (Risk analytics)- Full-time
Company DescriptionAbout Grab and Our WorkplaceGrab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve 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.Job DescriptionGet to Know the TeamThe Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We use our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analysing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, we use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis capabilities.Get to Know the RoleReporting 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 our evolving auto-adaptive tools and GenAI capabilities to improve your daily analytical workflow.The Critical Tasks You Will Perform- 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.
QualificationsWhat Essential Skills You Will Need- 1+ years of experience in data-related or quantitative fields.
- A Bachelors 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.
Additional InformationLife at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At GrabWe are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.Job LocationBy clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party websites terms and privacy policy applyGoogle Maps requires functional cookies to be enabled
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data analystrisk analyticsstatisticsgeminicursorstatistical techniquesAnalyticsAnomaly Detectionmedical insuranceAnalytics ManagerPythonPower BiTableauOnboardingSQLRisk AnalysisArtificial IntelligenceMachine Learning
Section · Company
About Grab Greco
Grab Greco
Internet
642
employees
2017
9 years old
Bangalore / Bengaluru, Karnataka
India
₹24.6L PA avg
Avg at Grab Greco
About
Technology firm providing diverse services including transport, delivery, and payments while emphasizing sustainable community impact across Southeast Asia.
Industries
InternetSoftware Product
Employee ratings
10 reviews
3.9/ 5
Culture
3.5
Career growth
2.8
Work-life
3.3
Employees rate it well for
Overall Company39Company Culture38
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