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Senior Data Analyst, Trading

Binance

Role overview

Qualifications

  • 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 passion for Emerging Technologies related to Blockchain, Machine Learning and AI

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

About the company

Binance logo

Binance

Fintech: Finance + Technology

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

Company details

Company typeLarge
IndustryFintech: Finance + Technology
Company size1001 - 5000

Links

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Job description

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.

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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