Business Intelligence / Data Scientist

About the role

This role focuses on leveraging data analytics and AI to enhance Binance's treasury and risk management functions. The successful candidate will design and build AI Agent systems, including task planning and memory management, utilizing technologies like LLMs, RAG, and vector search. The work involves applying these intelligent systems to areas such as search, trading, and automated data engineering to extract value from large datasets.

A key responsibility is developing and maintaining sophisticated risk management systems, dashboards, and automated reports. This includes monitoring limits, detecting breaches, and supporting timely risk mitigation. The role requires analyzing and interpreting petabyte-scale transactional, operational, customer, and financial data using various proprietary and open-source tools.

Success in this position means translating complex data findings into clear visualizations and actionable recommendations for operational teams and executives. The role spans data engineering, machine learning model development, and experimentation within a fast-paced industry where rapid delivery is crucial. The ideal candidate will be a self-driven team player with a natural curiosity for data trends.

The annual salary for this position ranges from $147,500 to $200,000.

Skills that matter here

• Mathematics: A strong background in quantitative disciplines like Mathematics is essential for analyzing complex financial and operational data.
• R: Proficiency in analytical software like R is required for data analysis and model development.
• Tableau: Experience with data visualization tools such as Tableau is necessary to translate complex findings into clear visual reports.
• SQL: Competency in relational database management tools like SQL is needed for querying and managing large datasets.
• Python: Programming skills in Python are important for developing AI Agent systems and machine learning models.
• Neo4J: Familiarity with graph database management tools like Neo4J is beneficial for handling complex data relationships.

Who this role suits

• A person with a quantitative academic background and 3-5 years of experience in data analytics or data science.
• Someone who is naturally curious about data, able to identify trends, and explain complex technical concepts simply.
• An individual who thrives in a fast-paced environment and is passionate about emerging technologies like blockchain, machine learning, and AI.
• A self-driven team player who can quickly learn and apply new tools and techniques.

From the employer

• Work closely with other business intelligence and data teams to build datasets serving the purpose of treasury and risk management.
• Responsible for the architecture design and core module development of LLM-based AI Agent systems, including task planning, memory management, tool invocation, and workflow execution;
• Leverage key technologies such as LLMs, RAG, vector search, and function calling to build intelligent systems with contextual understanding and knowledge injection capabilities;
• Drive the application of AI Agents in vertical scenarios such as search, trading, deep analysis, and automated data engineering to unlock the full value of LLMs.
• Develop and maintain sophisticated risk management systems, dashboards and automated reports to help the team meet its management objectives and regulatory requirements.
• Analyze and interpret large (PB-scale) volumes of transactional, operational, customer and financial data using proprietary and open source data tools, platforms and analytical tool kits.
• Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives.
• Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments.
• Be part of a fast-paced industry and organisation where time to market is critical.
• Develop and maintain sophisticated risk management systems and dashboards to monitor limits, detect breaches, and support timely risk mitigation.

• Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
• 3-5 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 analyse and break down complex concepts and technical findings into clear and simple language for communication
• 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)

• 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)