Senior Data Analyst (AI Compliance)

New
B
BinanceFinancial technology
Location: Hong Kong; Singapore; TaiwanFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ year experience in a relevant Data Analyst/ Science position
Required Skills
PythonSQLHadoopMachine LearningMicrosoft Power BITableauSparkRDeep Learning

Requirements

  • Have 5+ years of experience in a relevant data analyst or data science position.
  • Hold a bachelor’s degree or higher in a quantitative or engineering field.
  • Have professional work experience in a relevant field.
  • Have experience with SQL, R, and Python.
  • Have solid experience with at least one data visualization tool, such as Tableau, Qlik, or Power BI.
  • Be familiar with commonly used machine learning and deep learning algorithms.
  • Have experience with large volumes of data and big data technologies such as Hadoop, Redshift, Spark, Presto, or Hive.
  • Have experience working with cross-functional teams to gather requirements and set work priorities.
  • Experience implementing LLMs in business applications is preferred.
  • Experience with regulatory compliance and financial trading analysis is beneficial.
  • Experience in AI-related domains is beneficial.

Responsibilities

  • Analyze, mine, and model large volumes of business data to build an algorithmic system for extracting valuable information.
  • Design and build visualizations and analytical models to address compliance or regulatory requirements.
  • Build data analytical systems to help business teams improve work efficiency.
  • Work with compliance teams to identify, prioritize, and deliver on impactful analytical use cases.
  • Translate complex findings into visualizations and recommendations for execution.
  • Analyze and interpret PB-scale transactional, operational, and customer data using proprietary and open-source tools.
  • Support and manage data requests from business stakeholders and assess the impact of business changes.
  • Oversee multidisciplinary members of the Data Analyst team.
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