1. Gain an in-depth understanding of the financial market and user needs, design and optimize product features based on data analysis to enhance user experience.

2. Develop comprehensive data collection and analysis strategies, utilizing big data analysis tools to uncover valuable business insights, providing robust support for business decisions.

3. Regularly monitor key performance indicators (KPIs), propose specific product improvement plans based on data analysis results, and oversee the execution of these plans to ensure continuous optimization of product performance.

4. Develop detailed data monitoring plans for various operational activities, evaluate the effectiveness of activities, and adjust strategies promptly based on real-time data feedback to ensure the achievement of expected goals.

5. Identify potential risk points through in-depth data analysis, formulate corresponding preventive measures to ensure the safety and compliance of the product.

6. Track industry trends and technological developments, continuously explore the application of the latest data science technologies in products.

1. Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field.

2. At least 3 years of experience as a data product manager, with a preference for candidates with relevant experience in the financial sector.

3. Proficient in SQL, Python, or other data analysis tools, capable of independently completing complex data analysis tasks.

4. Excellent problem-solving skills, able to find the most effective solutions in complex environments.

5. Strong communication skills and a team-oriented spirit, capable of effectively coordinating work across different departments.

6. Preference for candidates with experience in using business intelligence tools such as Tableau and Power BI.

7. Proven experience in successfully managing and delivering data-driven products throughout the project lifecycle.

8. Proficiency in English as a working language.