Manager, Research Data, IT

CLSA; Hong Kong; Vor Ort; HKD 700.000 - 950.000; Vollzeit

Zusammenfassung

CLSA’s Research IT team seeks a detail-oriented data manager to design, maintain, and optimise data systems powering research and business operations. You will drive data pipelines, ensure data quality, and enable informed decision-making across global teams.

You will develop data solutions using Python and SQL, integrate BI dashboards with Qlik, and uphold data integrity and regulatory compliance for a fast-paced financial environment.

Qualifikationen

• Bachelor’s degree in Computer Science, Information Systems or related discipline.
• 5–8 years of data engineering, database development or similar experience.
• Proficiency in SQL and Python with ETL workflows and data modelling.
• Strong analytical and problem-solving abilities with good communication.
• Fluent in English and Mandarin.

Aufgaben

• Database management: Maintain and optimise database systems, tables, views, and procedures to meet complex business logic and compliance needs.
• Collaborate with IT and business users to translate workflows into efficient data pipelines.
• Develop and deploy reliable data solutions using Python and SQL for business jobs and automated processes.
• Respond to time-sensitive data requests by validating, transforming, and extracting datasets with high data integrity.
• Integrate data into BI tools (Qlik, Power BI, Tableau) to create interactive dashboards for stakeholders.
• Diagnose and resolve performance issues through SQL tuning, indexing, and architectural improvements for high-volume systems.
• Partner with onshore teams to ensure data security and regulatory compliance across global environments.

Kenntnisse

SQL

Python

ETL

Data modelling

Analytical thinking

Communication skills

English & Mandarin

Ausbildung

Bachelor’s degree in Computer Science, Information Systems, or related discipline

Tools

Qlik

Power BI

Tableau

Jobbeschreibung

We are seeking a detail-oriented and collaborative data manager to join our Research IT team. This role plays a key part in designing, maintaining, and optimising data systems that power CITIC Securities International’s research and business operations.

Key Areas of Responsibilities

• Database Management: Maintain and manage database systems by creating, updating, and optimising tables, views, and stored procedures to meet complex business logic, compliance needs, and operational requirements within the securities domain.
• Cross-functional Collaboration: Work with IT colleagues and business users to understand end-to-end workflows and translate requirements into efficient data pipeline designs aligned with operational and regulatory demands.
• Data Solutions Development: Develop and deploy reliable data solutions using Python and SQL, ensuring the accurate and efficient execution of business jobs and automated processes.
• Respond to time-sensitive data requests by extracting, transforming, and validating datasets while maintaining strict data integrity and confidentiality.
• Business Intelligence Integration: Integrate data into BI tools such as Qlik to develop interactive dashboards and visualizations that facilitate data-driven decision-making for business stakeholders.
• Performance Optimisation: Diagnose and resolve database performance issues, including latency and query inefficiency, through SQL tuning, indexing strategies, and architectural improvements to enhance scalability and throughput for high-volume transaction systems.
• Global Collaboration & Compliance: Partner with onshore teams to advance global system maturity and maintain rigorous data security and compliance standards in accordance with both onshore and offshore regulatory frameworks.

Requirements

• Bachelor’s degree or above in Computer Science, Information Systems, or related discipline
• 5-8 years of relevant experience data engineering, database development, or similar roles, preferably within the financial or securities industry.
• Proficiency in SQL and Python, with understanding of ETL workflows and data modelling.
• Strong analytical mind with attention to detail, problem-solving capability, and communication skills.
• Excellent command of / fluent in both spoken and written English and Mandarin
• Experience with BI tools (e.g., Qlik, Power BI, Tableau) and cloud-based data environments is an advantage.