Data Analyst (AI Compliance)

Location: Hong Kong, Singapore, Taiwan, or China. Remote-first, work-from-home arrangement may vary depending on the nature of the role and team.

Company

Binance operates a global blockchain ecosystem including a cryptocurrency exchange, digital-asset products, finance, payments, research, and institutional services.

What you will do

• Analyze, mine, model, and interpret PB-scale transactional, operational, customer, and business data.
• Build algorithmic systems, analytical models, visualizations, and data systems supporting compliance and regulatory requirements.
• Work with compliance stakeholders to identify, prioritize, and deliver impactful analytical use cases.
• Translate complex findings into clear visualizations and actionable recommendations.
• Support business data requests, assess the impact of business changes, and help improve operational efficiency.
• Oversee and guide multidisciplinary Data Analyst team members while collaborating with business teams.

Requirements

• 5+ years of experience in a relevant Data Analyst or Data Science position.
• Bachelor’s degree or higher in a quantitative or engineering field, with professional experience in a relevant area.
• Experience with SQL, R, and Python.
• Strong experience with at least one data visualization tool such as Tableau, Qlik, or Power BI.
• Experience working with large data volumes and big data technologies such as Hadoop, Redshift, Spark, Presto, or Hive.
• Experience collaborating with cross-functional teams, gathering requirements, and setting work priorities.
• Strong analytical thinking, communication skills, business sense, logical thinking, and the ability to synthesize information and generalize patterns.

Nice to have

• Familiarity with machine learning and deep learning algorithms, including hands-on implementation of LLMs in business applications.
• Experience with regulatory compliance and financial trading analysis.
• Experience in AI-related domains.

Culture & Benefits

• Remote-first, work-from-home arrangement, subject to the nature of the role and team.
• Work in a global, user-centric organization with a flat structure and multidisciplinary collaboration.
• Fast-paced, innovative environment with autonomy and challenging projects.
• Career growth and continuous learning opportunities.
• Competitive salary and company benefits.