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
- 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)
Competency in two or more of the following:
Skills Required
- Degree in a quantitative discipline (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, proprietary analytical software, data models and programming languages; self-driven team player
- Ability to identify, investigate and explain trends and patterns in data and communicate complex findings simply to stakeholders and executives
- Prior internal/client-facing consulting or business transformation experience
- Passion for emerging technologies related to Blockchain, Machine Learning and AI
- Competency in two or more of: R, SAS, Qlikview, Tableau, PowerBI, SQL, NoSQL, Neo4J, VBA, C++, Java, Python
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com








