Fan Wang Email & Phone Number

China

Shanghai

Data Service Construction and Management Led the creation and management of robust data services to support FICC operations, ensuring high data quality and integration.- Lead Role: Spearheaded the construction of FICC data services, integrating multi-source data into a comprehensive support system. This included a real-time data warehouse (StarRocks + Kafka + DSG), quantitative investment research services (DolphinDB and QuantLib), market information services, and general data services (Apache Superset). Ensured data accuracy, timeliness, and completeness to support investment research and quantitative analysis.- Quality Monitoring: Designed and implemented data quality inspection and repair processes. Utilized data profiling and statistical methods to continuously optimize data quality, meeting business requirements and industry standards.AI Capabilities Application and Innovation Applied and innovated AI capabilities to enhance sentiment analysis and knowledge management, improving research efficiency and customer service.- Sentiment Analysis Model: Developed a sentiment analysis model for credit rating, achieving over 95% recall. This significantly improved the efficiency of credit research.- Knowledge Base: Built a FICC business knowledge base and domain expert model, enhancing internal business Q&A and intelligent customer service, thereby boosting the efficiency of the customer-facing business team.Data Management Platform Building and Optimization Designed and optimized data management platforms, improving data governance and demand management processes. Demand Management Platform: Led the design and implementation of a data demand management platform using Feishu multidimensional tables. Data Governance: Collaborated with the company's data center to construct the FICC business data governance platform, ensuring standardized data governance and high data quality.

Shenzhen

M.E., Cyberspace Security, Gpa: 4.12/4.30

Network Center of Zhengzhou University * 3rd year: Wang F, Li R, Zhang Z. APTSID: An Ensemble Learning Method for APT Attack Stage.

B.E., Computer Science, Gpa: 3.89/5.00, Top 5%（4/156）

Activities and Societies: Student Union - ArtsOutstanding Graduates of 2019 * 4th year: Java (J2SE/J2EE), Compiler Principles * 3rd year.

Computer Science

Exchange student Software Engineering, Operating System, Databases, Computer Graphic, Computer Network