The Role
Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.
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.
Responsibilities
- Analyzing, mining, and modeling large volumes of business data to build a comprehensive algorithmic system that extracts valuable information regardless of rules or machine learning algorithms.
- Leading through example: Overseeing high performing, multidisciplinary members of the Data Analyst team, you will design and build complex visualizations and analytical models to help us to meet compliance or regulatory requirements, build several data analytical systems to help business teams improve work efficiency.
- You will work closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualizations and recommendations for execution.
- 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.
- Support and manage data requests from business stakeholders – can understand business change needs and assess the impact of those changes.
- Responsible for working closely with the compliance areas to identify, prioritize and deliver on their most pressing and impactful analytical use cases.
Requirements
- 5+ year experience in a relevant Data Analyst/ Science position
- Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field.
- Familiar with commonly used machine learning and deep learning algorithms, with hands-on experience in implementing LLMs in business applications preferred.
- Experience with common analysis tools such as SQL, R, and Python.
- Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.).
- Familiar and comfortable with large volumes of data and big data technology (Hadoop, Redshift, Spark, Presto, hive).
- Experience in working with cross-functional teams to gather requirements and ability to set work priorities.
- Strong analytical thinking and communication skills.
- Good business sense and logical thinking. Ability to synthesize information and generalize the pattern.
- Experience with regulatory compliance and financial trading analyzing will be beneficial
- Experience with AI related domains will be beneficial
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.
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Skills Required
- 5+ years experience in a relevant Data Analyst/Science position
- Bachelor's degree or above in a quantitative or engineering field
- Familiarity with machine learning and deep learning algorithms
- Hands-on experience implementing LLMs in business applications
- Experience with SQL, R, and Python
- Experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
- Familiarity with big data technologies (Hadoop, Redshift, Spark, Presto, Hive)
- Experience working with cross-functional teams to gather requirements and set priorities
- Strong analytical thinking and communication skills
- Good business sense and ability to synthesize patterns
- Experience with regulatory compliance and financial trading analysis
- Experience in AI-related domains
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.
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The Company
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
