Data Analyst
Data Analyst
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1 Vacancy
Job Description
Get to Know the Team
The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges from ensuring safety to preventing fraud. We are involved in the entire data lifecycle including analyzing user behavior identifying anomalies and developing detection and prevention modules for suspicious activities. If youre enthusiastic about solving complex problems that have a direct real-world impact wed love to have you on board!
Get to Know the Role
Reporting to the Analytics Manager in the Integrity team (Trust Identity & Safety) you will help analyze data to understand user behaviors and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.
The Critical Tasks You Will Perform
- You will analyze user and transaction data to uncover patterns trends and issues aiding in the creation of inclusive and effective abuse prevention policies.
- You will enhance detection by swiftly identifying latest trends and developing data-driven rules and strategies to address potential risks.
- You will conduct statistical analyses to ensure detection systems align with industry standards refining policies strategies and controls.
- You will build and maintain dashboards for all stakeholders to provide visibility of key metrics patterns and detection efficiency
- You will collaborate across teams to address risks associated with Grabs products processes and payment methods serving as a strategic partner in risk management decisions.
Qualifications :
What Essential Skills You Will Need
- At least 2 years of experience as a hands-on analyst in a high-tech company
- A technical degree in Computer Engineering Information Technology Data Sciences Maths or related fields.
- Experience in handling large-scale unstructured data. Experience in SQL or other data handling tools.
- Business intelligence experience using tools such as PowerBI or Tableau.
- Experience with any of the data analysis tools such as R or Python.
- Experience with the application of experimentation and statistical techniques (such as hypothesis testing probability distributions regression decision trees).
- Understanding of the risk management space in digital ecosystems.
- Proficiency in Gen AI/LLMs.
Additional Information :
Life at Grab
We 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 Grab
We 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
