(Senior) Data & AI Product Analyst | Banking

Peoplebank Hong Kong Limited; Hong Kong; On-site; HKD 850,000 - 1,250,000; Full time

Job summary

Peoplebank Hong Kong Limited is seeking a Senior Data & AI Product Analyst in banking to drive data strategy, AI capabilities, and intelligent reporting for securities services. You will partner with cross-functional teams to design scalable data platforms and standardized metrics that enable smarter decisions and governance.

You will deliver analytics, dashboards, and governance practices that improve risk controls, operational efficiency, and AI-driven insights, positioning the organization as

Qualifications

• Minimum 5 years of change management or product delivery experience in financial services.
• Strong skills in business analysis, process re-engineering, and working within Agile squads.
• Domain expertise in securities services, treasury and liquidity, or asset owner operations.
• Hands-on with BI tools (Power BI/Tableau/Cognos) and SQL.
• Familiarity with cloud platforms, JIRA/Confluence, and REST APIs.
• Knowledge of data governance, metadata frameworks, and AI/ML model integration.
• Excellent stakeholder management and ability to explain complex ideas to both business and IT.
• Professional certifications such as PSPO, CSPO, PMP, or Lean Six Sigma.

Responsibilities

• Assess data and AI readiness across strategic platforms via gap, quality, and lineage analysis.
• Document requirements, user stories, and specs for portals and data solutions.
• Design end-to-end process maps integrating source systems, data platforms, and AI layers.
• Collaborate with agile delivery pods, data teams, and technology partners to prioritize backlogs.
• Execute robust testing strategies, regression checks, and model validations per governance.
• Define standard performance metrics, operational KPIs, and automated dashboards for stakeholders.
• Deliver user training and workshops to promote data literacy and safe AI usage.
• Research emerging capabilities including predictive analytics and intelligent workflows.
• Support multi-domain digital transformation initiatives spanning onboarding, liquidity analytics, and regulatory reporting.

Skills

Stakeholder management

Agile methodologies

Change management

Data storytelling

Business analysis

Education

Bachelor's degree in Business, Finance, Technology, Data/Analytics

Tools

Power BI

Tableau

Cognos

SQL

JIRA

Confluence

REST APIs

Job description

(Senior) Data & AI Product Analyst | Banking

You will drive the strategic transformation of data, reporting, and AI capabilities within securities services to deliver high-impact business intelligence and intelligent workflow solutions. Partnering with cross-functional teams, you will design scalable data platforms, standardize key metrics, and modernize client-facing reporting environments. Your contributions will directly enhance operational efficiency, strengthen risk management controls, and enable transparent, AI-driven analytics that position the organization as a market leader in digital securities servicing.

Responsibilities

• Assess data and AI readiness across strategic platforms through comprehensive gap, quality, and lineage analysis.
• Document business requirements, user stories, and functional specifications for enterprise web portals and data solutions.
• Design end-to-end process maps integrating source systems, data platforms, and AI orchestration layers with clear control points.
• Collaborate with agile delivery pods, data teams, and technology partners to prioritize backlogs and roll out scalable features.
• Execute robust testing strategies, regression checks, and model output validations in alignment with governance standards.
• Define standard performance metrics, operational KPIs, and automated reporting dashboards for business stakeholders.
• Deliver user training and workshops to promote data literacy, safe AI usage, and self-service analytics adoption.
• Research emerging industry capabilities, including predictive analytics, intelligent exception handling, and agentic workflows.
• Support multi-domain digital transformation initiatives spanning client onboarding, liquidity analytics, and regulatory reporting.

Requirement

• Degree in Business, Finance, Technology, Data/Analytics, or a related discipline.
• Minimum 5 years of change management or product delivery experience in financial services.
• Strong track record in business analysis, process re-engineering, and working within Agile development squads.
• Domain expertise in securities services, treasury and liquidity, or asset owner operations.
• Hands-on proficiency with business intelligence tools such as Power BI, Tableau, or Cognos alongside SQL.
• Practical familiarity with cloud platforms, JIRA, Confluence, and modern REST APIs.
• Solid understanding of data governance, metadata frameworks, and AI/ML model integration principles.
• Excellent stakeholder management skills with proven ability to communicate complex concepts across business and IT teams.
• Relevant professional certifications such as PSPO, CSPO, PMP, or Lean Six Sigma.