Senior Data Analyst (AI Compliance)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities Analyzing, mining, and modeling large volumes of business data to build a comprehensive algorithmic system that extracts valuable information regardless of rules or machine learning algorithms. Leading through example: Overseeing high performing, multidisciplinary members of the Data Analyst team, you will design and build complex visualizations and analytical models to help us to meet compliance or regulatory requirements, build several data analytical systems to help business teams improve work efficiency. You will work closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualizations and recommendations for execution. Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits. Support and manage data requests from business stakeholders – can understand business change needs and assess the impact of those changes. Responsible for working closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use cases. Requirements 5+ year experience in a relevant Data Analyst/ Science position Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field. Familiar with commonly used machine learning and deep learning algorithms, with hands-on experience in implementing LLMs in business applications preferred. Experience with common analysis tools such as SQL, R, and Python. Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.). Familiar and comfortable with large volumes of data and big data technology (Hadoop, Redshift, Spark, Presto, hive). Experience in working with cross-functional teams to gather requirements and ability to set work priorities. Strong analytical thinking and communication skills. Good business sense and logical thinking. Ability to synthesize information and generalize the pattern. Experience with regulatory compliance and financial trading analyzing will be beneficial Experience with AI related domains will be beneficial