Country : Malaysia
  • Full-time

Data Risk Lead (User Trust)

It was 2012 and legend has it, a few friends were enjoying some tea together. As is common with Southeast Asians, they started ranting about how hard it was to get a taxi. But afterwards, they did something uncommon. They decided to solve the problem. They started us, Grab (then MyTeksi). Pretty soon, our simple goal had transformed into something bigger – to make Southeast Asia a better place. Today, Grab is present in six countries across the region. And countless people like you, use our services every day. But you are more than just a “number” to us. Like you, we too are Malaysians, Singaporeans, Indonesians, Thais, Vietnamese and Filipinos. You are our neighbours. Friends. Family. And whatever we do, it’s to drive all of us … Forward Together.


  • Lead and build a team of highly motivated analysts
  • Plan and execute strategy roadmaps, which include workforce planning and development of strategies and methods
  • Develop a deep behavioral understanding and intuition of our passengers and drivers, especially in the space of how they would violate our policies and game our systems
  • Translate these intuitions into actionable recommendations to identify and take down those who violate our Terms of Services
  • Test and validate these insights via rapid experimentation and deployment
  • Collaborate with cross-functional groups such as Engineering, Data Science, Customer Support, Marketing and Product Management to improve processes, system functionalities, and fraud detection methods
  • Coach and guide the team to perform at exceptional level and manage expectations with various stakeholders


  • Degree or Professional Qualification in a related field
  • At least 3-5 years of experience in leading a team or people management, preferably in a startup or a tech company
  • Good understanding of the fraud space with hands-on knowledge of fraud, payments and risk
  • Strong experience with metrics and reporting and tools such as Excel and SQL
  • Experience in data analytics and data mining
  • Excellent written and verbal communication skills along with strong training skills
  • Detail-oriented and efficient time manager who is able to thrive in a dynamic and fast-paced working environment


(Really) Nice-to-haves

  • Proficient in RDBMS such as PostgresQL or MySQL
  • Proficiency in a local SEA language
  • Good understanding of the fraud space with hands-on knowledge of fraud, payments and risk

Total applicants :5 Job posted 1 year ago Total Views : 370 Unique Views : 369

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