Senior Data Analyst (AI Compliance)

Remote

San Francisco (CA)

Remote

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Remote-first
Competitive pay
Global collaboration

Job summary

Binance is a leading global blockchain company seeking a Senior Data Analyst to analyze and model massive datasets, build advanced visualizations, and guide cross-functional teams. You will work closely with compliance and business stakeholders to deliver impactful analytics and regulatory-ready insights.

The role requires 5+ years in data analytics/science, a quantitative degree, and strong SQL, Python, and visualization skills. Experience with Big Data technologies and AI domains is a plus.

Qualifications

  • 5+ years in a Data Analyst/Science role.
  • Bachelor’s degree in a quantitative or engineering field.
  • Familiar with ML/ DL algorithms; implementing LLMs is a plus.
  • Experience with SQL, R, and Python.
  • Strong data visualization skills (Tableau, Qlik, Power BI).
  • Big data tech like Hadoop, Redshift, Spark, Presto, Hive.
  • Experience with cross-functional teams and requirements gathering.
  • Strong analytical thinking and communication skills.
  • Knowledge of regulatory compliance in analytics is a plus.
  • Experience in AI domains is beneficial.

Responsibilities

  • Analyze, mine, and model large datasets to build algorithmic systems.
  • Lead a multidisciplinary Data Analyst team; design complex visualizations and analytical models.
  • Collaborate with compliance to identify and deliver impactful analytics use cases.
  • Interpret PB-scale data using proprietary and open-source tools and kits.
  • Support data requests from stakeholders and assess impact of changes.
  • Work with compliance to turn findings into actionable recommendations.

Skills

SQL
Python
R
Machine Learning
Data Visualization
Big Data
Cross-functional
Analytical Thinking

Education

Bachelor's degree in quantitative/engineering field

Tools

Tableau
Qlik
Power BI
Hadoop
Redshift
Spark
Presto
Hive

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, and more. Our mission is to increase the freedom of money and 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 of finance

  • Collaborate with world-class talent in a user-centric global organization with a flat structure

  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy

  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning

  • Competitive salary and company benefits

  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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