Data Analyst (Risk analytics)

Data Analyst (Risk analytics) Team Data Analytics Location Bangalore, India Job Type Full-time The role at a glance Skills you need What we offer Life at Grab The role at a glance 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 PerformAddress 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. Read more Skills you need What Essential Skills You Will Need1+ 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. Read more What we offer About Grab and Our WorkplaceGrab 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. Read more Life at Grab 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 life's challenges.Balancing personal commitments and life's 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. Read more What’s it like to work at Grab? Play video Data Analyst (Risk analytics) Apply Now Save Saved Open sharing options Share Meet the Data Analytics team Our Data Analysts harness the power of analytical thinking and sprinkle data-driven insights across every area of Grab’s business. But we don’t just crunch data all day, we collaborate with teams across the company, and love tackling the tricky problems they bring our way. Aside from being platform builders, we do tonnes of detective work to uncover key insights from our data. We’ll continue to experiment and improve the experience so that more users can benefit from our services across Grab. “ ” Cheryl YeoSenior Analytics Manager, Financial Services Want to leave your mark through data-driven product thinking? I know I do, and that’s what drives me to work all day every day! And, what’s even better is working with some of the most intellectual, driven, kind and authentic people I know who are my Grab friends forever! “ ” Maanas Sunil PrabhakarHead of Analytics - Deliveries, Omnicommerce, Business & Transaction Platform The Application Process What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like. Step 1: Apply. We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate. Step 2: Getting to know you. Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences. Step 3: Testing, testing… 123. Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details. Step 4: Is it a culture match? Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality. Grab a spot in our talent community Interested in what’s next at Grab? Join our talent community to get early access to opportunities and updates on our teams, work, and culture. Join now