AI-Driven Research IT Business Analyst & Delivery Lead

CLSA; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

CLSA is seeking a highly motivated Business Analyst / Project Manager to drive high-quality requirements, data analysis, workflow design, and delivery execution across Research IT. The role spans research production, content and data pipelines, publishing/distribution workflows, market data, and systems relied on by analysts and supervisors.

The ideal candidate will have 5–8 years in technical BA/PM roles within financial services or asset management, strong SQL/Python skills, and experience

Qualifications

• Bachelor's degree or higher in a relevant field.
• 5–8 years in Technical Business Analysis / Project Management in financial services or asset management preferred.
• Strong SQL for data analysis; Python for profiling and prototyping.
• Proven experience delivering data-intensive solutions across multi-team initiatives.

Responsibilities

• Analyze research workflows and data pipelines to identify bottlenecks and automation opportunities.
• Capture requirements, write user stories, data specs, and acceptance criteria for delivery.
• Plan end-to-end delivery across squads and multiple vendors; manage risks and timelines.
• Coordinate engineering, data, UI/UX, and TechOps teams; run stand-ups and remove blockers.
• Provide updates to senior stakeholders and support governance and control processes.
• Explore AI enablement opportunities and evaluate proof-of-concept outcomes.

Skills

SQL

Python

Communication

Project management

Data analysis

Agile/Scrum

Stakeholder management

Education

Bachelor's degree or higher

Tools

Jira

Azure DevOps

MS Project/Planner

Job description

CLSA is seeking a highly motivated Business Analyst / Project Manager to drive high-quality requirements, data analysis, workflow design, and delivery execution across Research IT. The role spans research production, content and data pipelines, publishing/distribution workflows, market data, and systems relied on by analysts and supervisors.

The ideal candidate will have 5–8 years in technical BA/PM roles within financial services or asset management, strong SQL/Python skills, and experience