Resume

Wang Rui

+86 18523103352 raywang6688@outlook.com LinkedIn

Education

Southwestern University of Finance and Economics

Finance (Economics and management International Immersive talent Program)

2023.09 - 2027.06

Relevant Coursework: Econometrics; Data Analysis and Statistical Software (Stata); Database Fundamentals (SQL); Java; FinTech Theory and Practice; Probability Theory and Mathematical Statistics; Operations Research and Information Management; Financial Economics; Corporate Finance; Artificial Intelligence; Financial Management; Accounting

Skills & Interests

Language: English(IELTS Band 6.5) (Fluent)

Technical Skills: Python/Java (Data Processing/Basic Modeling), SQL (Data Querying/Data Cleaning), Excel (Data Analysis/Model Building/Visualization), Stata (Econometric Analysis)

Project Experience

MCM/ICM Mathematical Contest in Modeling (MCM/ICM)

Team Leader

2026.01 - 2026.02

Optimized model structure to mitigate extreme user preference impacts. Enhanced fairness through regularization and weight adjustment techniques for more representative results
Produced comprehensive modeling analysis report detailing methodology, key findings and actionable recommendations, providing data-driven solutions for rating system optimization

Southwestern University of Finance and Economics HSBC Club

Chairman

2025.06 - 2026.06

Managed event budgeting and full-cycle cost control, achieving 15% savings through vendor comparison and resource optimization. Coordinated key resources including promotion, venues and materials, ensuring 100% on-time, high-quality delivery of all events

Work Experience

CICC

Investment Banking Division Intern

2026.03 - 2026.06

Beijing

Built a comparable company database large samples, systematically cleaned and standardized key metrics including revenue, ROE, and EV/EBITDA. Provided high-quality data support for valuation analysis
Developed DCF and comparable company valuation models using historical financial data and industry metrics. Provided critical valuation range analysis for project decisions, effectively reducing investment risks and improving decision quality
Conducted professional cross-verification of prospectus and Wind data, identified and corrected anomalies including YoY fluctuations and metric discrepancies. Improved data consistency by over 30%, ensuring analysis reliability and accuracy
Created structured analysis tables and visual charts to systematically support project documentation. Optimized data processing workflow to improve efficiency by 30%. Accurately prepared meeting minutes to ensure complete information transfer and archiving

Shenwan Hongyuan Securities

Bond Underwriting Intern

2026.01 - 2026.02

Beijing

Extracted financial data of issuers in Southwest China from Wind database, established systematic data collection and processing procedures to support project screening and tracking. Provided timely and accurate data for investment decisions, improving team efficiency by approximately 20%
Independently authored monthly regional bond market reports covering market trends, issuance volume and interest rate movements. Provided professional market insights through in-depth analysis and data visualization, helping identify regional bond investment opportunities
Independently drafted bond prospectuses and other core documents, ensuring compliance and professionalism. Improved material quality and approval rate by optimizing content structure and data presentation, reducing average project timeline by 10 working days
Pioneered vibe coding methodology for prospectus preparation, creating standardized data tables and analytical chart templates. Enhanced report consistency and readability while improving work efficiency by 30%, establishing new team standard operating procedures

Hengfeng Bank

Corporate Finance Intern

2025.07 - 2025.08

Chongqing

Analyzed financial data of 5 enterprises over three years, establishing a comprehensive evaluation system covering profitability, solvency, and cash flow. Provided objective data support for credit assessment, significantly improving risk evaluation accuracy
Developed Excel-based weighted credit scoring model to systematically evaluate corporate creditworthiness. Transformed complex financial data into intuitive scores, providing scientific basis for credit decisions while reducing subjective judgment bias
Participated in due diligence investigations, cross-verifying financial data with on-site findings to identify potential risks and anomalies. Enhanced risk identification capabilities while providing first-hand verification for credit decisions
Optimized client documentation process by establishing standardized templates and filing system. Reduced preparation time by over 30% while significantly improving team efficiency and documentation standardization