Business Intelligence / Data Scientist

About the role

This role focuses on leveraging data analytics and AI to support treasury and risk management within Binance. The work involves developing datasets, designing and building AI Agent systems based on Large Language Models (LLMs), and implementing solutions for task planning, memory management, and workflow execution. A key aspect is driving the application of AI Agents in areas like search, trading, and automated data engineering.

The position also requires developing and maintaining sophisticated risk management systems, dashboards, and automated reports to ensure compliance and meet management objectives. This includes analyzing large volumes of transactional, operational, customer, and financial data using various tools. The successful candidate will translate complex data findings into clear visualizations and recommendations for both operational teams and executives.

Success in this role means contributing to a fast-paced environment where time to market is critical. It involves working across all data aspects, from engineering to building machine learning models and experiments. The ideal candidate will be a self-driven team player with a natural curiosity to investigate data trends and patterns, capable of breaking down complex technical concepts into simple language.

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

Skills that matter here

• Mathematics: A strong foundation in mathematics is required for understanding and applying complex analytical and statistical models.
• R: Proficiency in analytical software like R is needed for data analysis and model development.
• Tableau: Experience with data visualization tools such as Tableau is essential for creating clear dashboards and reports.
• SQL: Competency in SQL is necessary for querying and managing relational databases to extract and analyze data.
• Python: Programming skills in Python are utilized for developing AI Agent systems, machine learning models, and data engineering tasks.
• Neo4J: Familiarity with graph database management tools like Neo4J is beneficial for handling complex data relationships.

Who this role suits

• Someone with 3-5 years of experience in analytics or data science, seeking to apply their skills in a dynamic, high-volume data environment.
• An individual with a quantitative academic background who enjoys investigating data trends and communicating complex findings clearly.
• A self-driven team player who is eager to learn new tools and techniques, particularly in emerging technologies like blockchain and AI.
• A candidate who thrives in a fast-paced, results-driven workplace with autonomy and opportunities for continuous learning.

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)