Senior Data Analyst, Trading
- Role
- Data Science
- Experience
- Senior
- Employment
- Full-time
- Company size
- Enterprise
Open to Anywhere in Asia. Set where you work from to check your eligibility.
No BS summary
Senior data analyst with 3+ years in analytics or data science, supporting trading with large-scale data analysis, visualization, experiments, and ML models. Must be competent in at least two of analytical software, BI tools, databases, or programming. Role is remote and listed for Asia.
Core skills
Required skills
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.
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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
- 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)
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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.
What you'll do
- Work across data engineering, visualisations, machine learning models and experiments for the Trading business
- Analyze and interpret PB-scale transactional, operational and customer data
- Use proprietary and open source data tools, platforms and analytical toolkits
- Translate complex findings into simple visualisations and recommendations for trading, operations and executives
- Operate in a fast-paced environment where time to market is critical
What they require
- 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
- Ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- Ability to identify, investigate and explain trends and patterns in data
- Ability to break down complex concepts and technical findings into clear, simple language
- Prior internal or client-facing consulting or business transformation experience preferred
- Passion for emerging technologies related to Blockchain, Machine Learning and AI
- Competency in two or more listed analytical software, data visualisation, database management, or programming tools
Benefits
- Competitive salary and company benefits
- Work-from-home arrangement
- Opportunities for career growth and continuous learning
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users, serving more than 320 million people in 100+ countries with digital asset products and services across trading, finance, education, research, social good, payments, institutional services, and Web3 features.
What people say about this company
3.5/ 5