Jialin Xu

Financial Data Analysis Intern of the Risk Management Department

About

Currently pursuing a Master’s in Business Analytics at the University of Illinois Urbana-Champaign, with a Bachelor’s in Applied Statistics from Shanghai University of International Business and Economics. Recognized with multiple academic scholarships for outstanding performance and leadership in both academic and extracurricular settings. Most recently contributed as a Financial Data Analysis Intern at Huatai Great Wall International Trading, where I applied SQL, Kettle ETL, and NoSQL tools to build decision-support reports and enhance credit rating models. Combined regression-based Z-score models and multi-dimensional SVM algorithms that improved enterprise classification and processing efficiency. Previously, as a Portfolio Management Intern at PICC Asset Management, I gained hands-on experience in equity timing research, automated reporting, and financial modeling using Python, Matlab, MySQL, and Oracle. Beyond internships, I have led research projects applying clustering algorithms and neural networks to audience analysis, as well as app development integrating 5G+VR technology, with recognition in national competitions. Motivated to combine analytical rigor, programming expertise, and collaborative approaches to support data-driven decision-making and continuous innovation. Excited to bring a detail-oriented and team-focused perspective to solving complex business challenges.

Country

United States

City

Champaign

Industry

Information Technology & Services

Skill

Table Tennis, Leadership, Data Analysis, Business Analysis, Project Management, PL/SQL, Kettle, Extract, Transform, Load (ETL), Data Modeling, Oracle Database, fanruan, RStudio, Python, R 语言, SQL, MATLAB, Tableau

Experience

Financial Data Analysis Intern of the Risk Management Department

Huatai Great Wall International Trading Co., Ltd.

2024-9 - 2024-12 · 4 mos

Shanghai, China

Processed financial transaction data and developed customized data-driven decision support reports. Wrote complex SQL queries on the PL/SQL platform to manipulate and derive data from multiple tables, and used Kettle ETL tools for data processing tasks. Contributed to the development of a credit rating model, proposing and implementing an enhanced Z-score model that combined traditional scoring methods with regression analysis based on financial metrics, significantly improving model accuracy and interpretability. Introduced a multi-dimensional Support Vector Machine (SVM) algorithm for enterprise feature identification and classification, further enhancing model performance. Researched and applied NoSQL databases for handling unstructured data, optimizing data processing efficiency.

Intern of the Portfolio Management Department

Picc Asset Management Co. LTD

2023-7 - 2023-9 · 3 mos

Shanghai, China

Completed data collection and initial research report tasks required for the short-term equity timing research position. Proficiently utilized Mysql, Oracle, Python, Matlab, and other programming tools for data processing and analysis. Independently built models and enhanced existing timing models for the department. Developed an automated email system using Matlab to send monthly follow-up emails for the service team. Created an automated report system on the FanRuan platform for weekly data and description updates. Used Python to calculate and screen stock technical indicators. Constructed a comprehensive market timing model based on a self-assembled set of technical indicators, supplementing the department's existing models.