Sr Manager, Research Data, IT

CLSA; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Citic Securities International is seeking a detail-oriented data manager to join the Research IT team. You will help design, maintain, and optimise data systems powering global securities workflows across markets.

You will collaborate with cross-functional teams to ensure data integrity, performance, and scalability, building pipelines in Python and SQL and delivering BI dashboards with Qlik to empower stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related discipline.
• 8–10 years of data engineering, database development, or similar experience.
• Proficiency in SQL and Python; understanding ETL workflows and data modeling.
• Strong analytical mindset with attention to detail and communication skills.
• Fluent in English and Mandarin.

Responsibilities

• Database management: maintain and optimise tables, views, and stored procedures.
• Cross-functional collaboration to translate requirements into data pipeline designs.
• Develop and deploy data solutions using Python and SQL for automated processes.
• Ad hoc data analysis: extract, transform, validate datasets with integrity.
• BI integration: develop dashboards/visualisations using BI tools.
• Performance optimisation: SQL tuning, indexing, to improve scalability.

Skills

SQL

Python

ETL

Data modeling

Data pipelines

BI tools

Education

Bachelor's degree in CS/IS

Tools

Qlik

Power BI

Tableau

Cloud platforms

Job description

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. The successful candidate will work closely with cross-functional teams to ensure the integrity, performance, and scalability of data platforms supporting securities workflows across global markets.

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.
• Ad Hoc Analysis: 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
• 8-10 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.