Data Product Manager BA (Internship · Financial AI Direction)

Job Responsibilities

• Participate in the business logic sorting and product planning of financial data products (funds, stocks, futures, etc.), and create requirement documents and function descriptions.
• Assist in communicating with financial data suppliers, defining data access requirements, and tracking implementation progress.
• Collaborate with the product team to complete requirement reviews, discuss technical solutions with development colleagues, and follow up on project iteration progress.
• Test and verify product functions and business logic to ensure online quality meets expectations.
• Participate in competitor analysis and user research, producing analysis reports and supporting product optimization.
• Utilize AI technologies to enhance product design, document writing, and quality acceptance; practical project experience is preferred.

Job Requirements

• Bachelor's degree or higher from a full-time university. Open to fresh graduates or current students majoring in finance, computer science, information management, big data, or related fields.
• Possess solid financial professional knowledge and familiarity with the basic operation logic of mainstream financial products such as funds, stocks, and futures. Financial certifications (CFA/FRM) are a plus.
• Familiarity with Python and SQL, with the ability to independently perform data querying, cleaning, and basic analysis. Experience with data processing libraries like pandas and numpy is preferred.
• Understanding of how to write requirement documentation (PRD/BRD). Experience in prototype design using Figma or Axure is a plus.
• Experience using financial data terminals such as Bloomberg, Wind, and Choice is an advantage. Understanding how to call financial data interfaces (API) is preferred.
• Must be careful, responsible, possess clear logic, and demonstrate good communication and teamwork skills.
• Fluency in Mandarin and English is required. Cantonese proficiency is a plus.
• Ability to intern four or more days per week. An internship duration exceeding three months is preferred.

Why Join Us

• Opportunity to connect directly with top financial data suppliers, such as Wind and Bloomberg, gaining experience in establishing industry data resources and supplier management.
• Participation in the entire lifecycle of real financial data products, including funds, stocks, and futures, to accumulate methodologies.
• Practical application of combining machine learning and financial data, understanding how AI is implemented in financial data scenarios.
• One-on-one mentoring and systematic training on financial data tools and products.
• Access to Hong Kong business opportunities, as the company holds SFC Type 1/4/9 licenses, allowing exposure to cross-border financial compliance practices.
• Outstanding interns have a clear pathway to full-time employment, and excellent interns can participate directly in formal team projects.