Sr. Business Analyst, Research AI, IT
On-siteHong Kong, Hong Kong
Job Summary
Capture AI use-case requirements and shape roadmaps for AI-enabled Research systems across workflows, data, and model behavior. Translate business needs into testable specifications, user stories, and evaluation rubrics for Engineering and QA. Lead structured analysis of content pipelines and user patterns to identify AI productivity uplift. Define model evaluation activities, including test sets, golden datasets, and benchmarking against candidate LLMs. Conduct data exploration and profiling to validate feasibility and surface gaps. Support rapid prototyping using notebooks and scripting to de-risk requirements. Coordinate UAT, human-in-the-loop reviews, and release readiness with technical teams. Manage dependencies across Infra, EUS, and AI squads while ensuring compliance with regulatory and governance requirements.
Required Qualifications
- Bachelor's degree or higher in a relevant field (Computer Science, Engineering, Data Science, Quantitative Finance, or related)
- Around 5 - 7 years of experience as a Technical / Systems Business Analyst, delivering data-intensive or AI/ML-enabled solutions in complex business environments
- Strong capability to analyse system behaviour, data models, ontologies, knowledge graphs, interfaces/integrations, and edge cases
- Strong working knowledge of SQL for data analysis and validation
- Comfortable using Python (or similar) for data profiling, exploratory analysis, and prototyping
- Proven ability to translate business requirements into user stories, technical specifications, and evaluation plans with clear acceptance criteria
- Experience supporting delivery activities such as scope coordination, dependency management, risk management, and UAT/sign-off across multi-team programmes
- Self-motivated, intellectually curious, and able to thrive in a fast-paced and dynamic environment
- Strong communication skills in English and Chinese
Desired Qualifications
- Familiarity with governance, regulatory, and compliance requirements — including data residency, model risk, and audit trails
- Exposure to the financial services / research / asset management domain
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.