Business Intelligence / Data Scientist

About the role

In this role, you will collaborate with various data teams to develop datasets that support treasury and risk management. Your responsibilities will include designing AI systems and creating sophisticated dashboards for risk management, utilizing large data volumes for analysis and reporting.

You will work in a fast-paced environment, focusing on the application of AI technologies in trading and data engineering. Success in this position involves translating complex data insights into accessible visualizations and actionable recommendations for stakeholders.

The salary range for this role is between $147,500 and $200,000, reflecting the competitive nature of the position.

Skills that matter here

• R: This role requires proficiency in R for data analysis and model building.
• SQL: You will use SQL for managing and querying relational databases.
• Python: Python is essential for programming and developing machine learning models.
• Tableau: Tableau will be used for creating data visualizations and dashboards.
• Statistics: Statistical knowledge is crucial for analyzing data trends and patterns.
• Machine Learning: Experience in machine learning is important for developing AI-driven solutions.

Who this role suits

• A data-driven individual who enjoys solving complex problems.
• A self-motivated team player with strong analytical skills.
• Someone who communicates technical findings in simple terms.
• A candidate passionate about emerging technologies, especially in blockchain and AI.

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)