Quant Trading Analytics/Data Analyst

Requirement

• Data Infrastructure Development : Acquire real-time and historical market data, trading instruments, and reference information essential to power the growth of our foreign exchange, commodities, and structured products businesses, as well as to underpin the construction of robust, scalable trading platforms.
• Data Quality Management: Establish and oversee a comprehensive data governance framework to manage core data assets. This involves designing and implementing systematic data quality monitoring, validation rules, and proactive alerting mechanisms.
• Data Procurement : Develop and optimize data procurement strategies aligned with specific business objectives. Drive the end-to-end internal procurement process, coordinating cross-functional resources to ensure the efficient, compliant, and cost-effective sourcing of high-quality external data.

Qualifications

• Master’s degree or above in Computer Science, Mathematics, Data Engineering, Financial Engineering, Statistics, or a related quantitative field.
• Deep understanding of market structures, related derivatives, trading mechanisms, and core data elements across G10/EM FX, Commodities (Energy, Base Metals, Precious Metals), and Structured Products (MBS, CLO).
• Proficiency in mainstream market data terminals and APIs, including Bloomberg, Refinitiv, ICE and CME.
• Strong analytical & quantitative skills, with proficiency in Python, SQL, KDB, Bloomberg BQL, or similar programming tools.
• Strong communication and coordination skills, with the ability to distill technical insights for non-technical stakeholders as well as engage with external data vendors on the procurement process.