远程工作雷达

高级交易分析师

Senior Data Analyst, Trading

其他明确接受中国求职者
公司Binance
薪资未公开
工作地点Hong Kong, Singapore, Taiwan
地域资格明确接受中国求职者
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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明确接受中国求职者:该职位的地域要求包含中国,可正常投递。

Binance 是一个领先的全球区块链生态系统,是全球交易量和注册用户最多的加密货币交易所。我们凭借行业领先的安全性、用户资金透明度、交易引擎速度、深度流动性以及无与伦比的数字资产产品组合,赢得了全球 100 多个国家超过 3 亿人的信任。Binance 的服务涵盖交易和金融、教育、研究、支付、机构服务、Web3 功能等。我们利用数字资产和区块链的力量,构建一个包容性的金融生态系统,以推进货币自由并改善全球人们的金融可及性。

关于该职位:
该职位位于我们的数据分析团队,支持交易业务单元。你将与交易、运营和产品团队紧密合作,将大规模数据转化为推动快速、高风险决策的洞察。

职责

  • 在数据的各个方面开展工作——从工程到构建复杂的可视化、机器学习模型和实验——以支持交易业务
  • 使用专有和开源的数据工具、平台和分析工具包,分析和解释大规模(PB 级)的交易、运营和客户数据
  • 将复杂的发现转化为简单的可视化图表和建议,供交易、运营团队和高管执行
  • 参与快节奏的行业和组织,上市时间至关重要

要求

  • 量化领域的学位,例如数学/统计学、精算科学、计算机科学、工程或生命科学
  • 至少 3 年在分析或数据科学岗位的全职工作经验
  • 自我驱动的团队成员,能够快速学习并应用新工具和技术,如专有的分析软件、数据模型和编程语言
  • 对识别、调查和解释数据中的趋势和模式具有天然的好奇心,并能将复杂概念和技术发现转化为清晰简洁的语言
  • 有内部/客户咨询或业务转型经验者优先
  • 对与区块链、机器学习和人工智能相关的新兴技术充满热情

熟练掌握以下至少两种:

  • 分析软件(例如 R、SAS)
  • 数据可视化工具(例如 Qlikview、Tableau、PowerBI)
  • 关系型或图数据库管理工具(例如 SQL)
查看英文原文

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.

Originally posted on Himalayas

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