Senior Data Analyst (AI Compliance)

Binance; Sydney; Remote; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Work-from-home arrangement

Competitive salary and benefits

Job summary

Binance is a leading global blockchain ecosystem powering the world’s largest cryptocurrency exchange by volume and users. The Data Analyst will analyze vast transactional and customer data, build visualizations and models, and support compliance-driven analytics in a fast-paced environment.

Ideal candidates have 5+ years in data analytics/science, strong SQL/Python/R skills, and hands-on experience with big data tools and visualization platforms.

Qualifications

• 5+ years of experience in a Data Analyst/Data Science role.
• Bachelor's degree or higher in a quantitative or engineering field.
• Familiar with machine learning and deep learning algorithms; hands-on experience with LLMs is a plus.
• Experience with SQL, R, and Python for data analysis.
• Solid experience with data visualization tools such as Tableau, Qlik, or Power BI.
• Experience handling large-scale data (PB-scale) and big data technologies (Hadoop, Redshift, Spark, Presto, Hive).
• Experience collaborating with cross-functional teams to gather requirements and prioritize work.
• Strong analytical thinking and communication skills.
• Experience with regulatory compliance and financial trading analytics is beneficial.
• Experience with AI-related domains is beneficial.

Responsibilities

• Analyze, mine, and model large volumes of business data to build analytical systems and insights.
• Design and build complex visualizations and analytical models to support regulatory/compliance requirements.
• Collaborate with compliance to identify and deliver high-impact analytical use cases.
• Analyze and interpret PB-scale data using proprietary and open-source tools.
• Support data requests from business stakeholders and translate needs into data solutions.
• Work closely with cross-functional teams to gather requirements and set priorities.

Skills

SQL

Python

R

Tableau

Power BI

Hadoop

Spark

Redshift

Presto

Hive

Education

Bachelor's degree in quantitative/engineering

Tools

Tableau

Power BI

Hadoop

Redshift

Spark

Job description

Full-time Onsite or Remote /

Remote

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.

• 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.
• 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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.