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Senior Data Analyst, Trading
Asia / Hong Kong / Taiwan, Taipei
Data & Research ā Data & Analytics /
Full-time: Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the worldās 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:Ā
This role sitsĀ within our Data Analytics function,Ā 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.
Responsibilities
- Work across all aspects of data ā from engineering to building sophisticated visualisations, machine learning models and experiments ā 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
- 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)
Why Binance
ā¢ Shape the future with the worldās leading blockchain ecosystem
ā¢ Collaborate with world-class talent in a user-centric global organization with a flat structure
ā¢ Tackle unique, fast-paced projects with autonomy in an innovative environment
ā¢ Thrive in a results-driven workplace with opportunities for career growth and continuous learning
ā¢ Competitive salary and company benefits
ā¢ 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.