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Data Scientist

  • Posted 17 hours ago
  • Be among the first 10 applicants

Job Description

About Us:

Xanh SM is a leading electric vehicle (EV) and sustainable mobility solutions provider headquartered in Vietnam. With a commitment to transforming urban transportation, we have successfully expanded into the Global Market and are now preparing to launch operations in the EU Market. Join us in driving the future of sustainable mobility.

Job Responsibilities

  • Researched, identified, and classified operational risks across different marketplace segments and markets.
  • Analyzed driver, customer, and merchant behavioral data to identify abnormal patterns and potential fraud.
  • Built, tested, and validated risk and fraud models for different business scenarios.
  • Designed risk rules, alert logic, and Fraud Risk Scoring (FRS) frameworks to support risk control.
  • Assessed risk impact on business performance and provided risk mitigation recommendations.
  • Collaborated with Tech and Data teams to test, optimize, and improve the accuracy of risk detection models and alert systems.

Job Requirements

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Finance, or a related field.
  • Have at least 1–3 years of experience in Risk Analytics, Fraud Detection, Data Analytics, or a related role.
  • Strong analytical and problem-solving skills with the ability to identify risk patterns and anomalies.
  • Experience in data analysis using SQL; knowledge of Python or R is a plus.
  • Understanding of risk models, fraud detection models, rule-based systems, and risk scoring frameworks.
  • Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau) is an advantage.
  • Ability to work with large datasets and translate business requirements into risk control solutions.
  • Good communication and collaboration skills to work effectively with Tech, Data, and Business teams.
  • English reading and writing skills for technical documentation and cross-functional collaboration.

More Info

About Company

Job ID: 151498333

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