Senior Data Analyst, Trading

Posted 13 Hours Ago
19 Locations
In-Office or Remote
Senior level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
The Role
Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.
Summary Generated by Built In
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.

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)

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.

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Singapore
7,696 Employees
Year Founded: 2017

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

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