Investment Data Governance Analyst - Automation & Insights

BOC International Holdings Ltd; Hong Kong; On-site; HKD 300,000 - 420,000; Full time

Job summary

BOC International Holdings Ltd is seeking a data management professional to oversee investment product data collection, setup, maintenance, and ongoing monitoring across internal systems in Hong Kong.

The role involves collecting prices and market data, reconciling data, performing quality checks, coordinating with IT to optimize data architecture, and supporting automation efforts with AI/PRA to improve pricing accuracy and efficiency.

Qualifications

• Bachelor's degree in Business or related discipline.
• Minimum of two years of relevant experience.
• Full-time working experience in Hong Kong or overseas is an advantage.
• Familiar with financial data vendor terminals (e.g., Bloomberg) is an advantage.
• Experience in market products, mark-to-market valuation, and market data processing and maintenance is an advantage.
• Proficiency in Microsoft Word.

Responsibilities

• Be responsible for investment product data management across internal systems.
• Collect product prices and market data, and perform system data updates.
• Perform reconciliation of product and price data and execute contingency procedures.
• Assist in data process design with IT and ensure data architecture meets requirements.
• Conduct regular data quality checks and resolve data discrepancies.
• Identify opportunities to automate data processes using AI and PRA.
• Support integration of product and market data into enterprise data platform.
• Monitor regulatory changes and assess impact on data processes.

Skills

Data management

Data governance

Data quality

Automation

AI awareness

Education

Bachelor's degree in Business

Tools

Bloomberg

Microsoft Word

Job description

BOC International Holdings Ltd is seeking a data management professional to oversee investment product data collection, setup, maintenance, and ongoing monitoring across internal systems in Hong Kong.

The role involves collecting prices and market data, reconciling data, performing quality checks, coordinating with IT to optimize data architecture, and supporting automation efforts with AI/PRA to improve pricing accuracy and efficiency.