Senior Data Analyst, Trading

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. Why Binance • 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) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

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

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
• You have rich trading/financial derivatives experience (hard-requirement)
• 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)