- Client Data Analysis: Based on business requirements, build client profiling and segmentation systems to deeply understand the characteristics and needs of high-net-worth and institutional clients.
- Strategy Development: Identify client behavior patterns and potential risks through data mining and statistical analysis, and deliver actionable client engagement strategies, product optimization recommendations, and operational solutions.
- Business Support: Provide data-driven recommendations and decision support to client relationship teams and product teams, promoting data-informed product iteration and business growth.
- Ad-hoc Research: Conduct targeted data analysis for key clients or business scenarios, produce research reports, and drive strategy implementation.
Requirements
- Bachelor's degree or above (Class of 2026), majoring in Statistics, Mathematics, Financial Engineering, Computer Science, Data Science, or related fields preferred.
- Proficient in SQL; experienced with data analysis tools such as Python or R; familiarity with common machine learning algorithms is a plus.
- Strong logical thinking and data sensitivity, with the ability to extract business insights from complex datasets.
- Excellent communication skills, capable of translating data analysis results into clear business language and driving cross-functional collaboration. Excellent command of spoken and written English & Chinese.
- Passionate about the fintech industry; Basic knowledge of securities, funds, or wealth management is preferred.
*Open to candidates graduating between January 2026 and August 2027.