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Data Analyst (Fintech)

Salary undisclosed

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Qualifications

  • Bachelor's degree or higher, major in mathematical statistics and other related majors.
  • Has min 2-3 years of work experience as data analyst (from multi-finance or fintech industry would be great).
  • Proficient in hive SQL, and using system languages such as python, SAS, R, spark, for data analysis and processing.
  • Master statistical methods and tools and be familiar with statistical model testing methods.
  • Have clear logical thinking, proactive, fast learning, strong communication and team skills.
  • Have experiences in creating dashboard and data visualization using SQL/Tableau/Superset

Responsibilities

  • Responsible for the daily business monitoring system, including all business processes/risk control strategies/monitoring of post-loan data performance indicators, and regularly reporting the business & risk control situation in the form of reports (Daily, Weekly, Monthly)
  • Collect various types of features in the maintenance & optimization business: including data collection, processing logic, usage scenarios, etc.; make daily monitoring reports feature, and regularly provide strategy/model specific data table suggestions based on data performance
  • Assist in building the data environment, creating data tables, and continuously displaying the data needed by each team
  • Periodically conduct data analysis and review on risk strategies/model effects/product profitability, and point out potential problems & risks based on the analysis results, and propose solutions

Qualifications

  • Bachelor's degree or higher, major in mathematical statistics and other related majors.
  • Has min 2-3 years of work experience as data analyst (from multi-finance or fintech industry would be great).
  • Proficient in hive SQL, and using system languages such as python, SAS, R, spark, for data analysis and processing.
  • Master statistical methods and tools and be familiar with statistical model testing methods.
  • Have clear logical thinking, proactive, fast learning, strong communication and team skills.
  • Have experiences in creating dashboard and data visualization using SQL/Tableau/Superset

Responsibilities

  • Responsible for the daily business monitoring system, including all business processes/risk control strategies/monitoring of post-loan data performance indicators, and regularly reporting the business & risk control situation in the form of reports (Daily, Weekly, Monthly)
  • Collect various types of features in the maintenance & optimization business: including data collection, processing logic, usage scenarios, etc.; make daily monitoring reports feature, and regularly provide strategy/model specific data table suggestions based on data performance
  • Assist in building the data environment, creating data tables, and continuously displaying the data needed by each team
  • Periodically conduct data analysis and review on risk strategies/model effects/product profitability, and point out potential problems & risks based on the analysis results, and propose solutions