Binance - Senior Data Analyst, Trading
Requirements
• Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences • At least 3 years of full-time work experience in an Analytics or Data Science role • A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages • A natural curiosity to identify, investigate and explain trends and patterns in data, and an ability to break down complex concepts and technical findings into clear, simple language • Prior internal/client-facing consulting/business transformation experience preferred • A passion for Emerging Technologies related to Blockchain, Machine Learning and AI • Competency in two or more of the following: • An analytical software (e.g. R, SAS) • A data visualisation tool (e.g. Qlikview, Tableau, PowerBI) • A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J) • Programming (e.g. VBA, C++, Java, Python)
Responsibilities
• Work across all aspects of data — from engineering to building sophisticated visualisations, machine learning models and experiments — in support of the Trading business • 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 • Translate complex findings into simple visualisations and recommendations for execution by trading, operational teams and executives • Be part of a fast-paced industry and organisation where time to market is critical
Benefits
• Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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