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.
About The Opportunity
This role sits within our Data Analytics function, supporting the Trading Business Unit. You'll partner closely with trading, operations, and product teams to turn large-scale data into insights that drive fast, high-stakes decisions.
Key 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
Qualifications & 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)
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) 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.
About Binance
Binance, launched in 2017 by Changpeng Zhao in Shanghai and now globally distributed, is the largest crypto exchange by spot and derivatives volume, serving 180M+ registered users. Its ecosystem spans Binance Exchange, BNB Chain, Trust Wallet, Labs investments and institutional custody. After settling major regulatory actions in 2023-24, Binance rebuilt its compliance stack and expanded in Dubai, Paris and Brazil. Location spread reflects its distributed model with hubs in Dubai, Taipei and remote. Candidates should expect high bar for detail, on-call ownership and ability to ship at exchange scale. Candidates joining Binance enter a high-velocity, globally distributed operational model that prioritizes exchange matching engine throughput, 24/7 system availability, and strict global compliance standards.