CV
Curriculum Vitae of Mengqi Wei. Download bilingual versions below.
Contact Information
| Name | Mengqi Wei (魏孟祺) |
| Professional Title | Undergraduate in Quantitative Economics & Finance |
| aeioudeaustria0123@stu.xjtu.edu.cn | |
| Phone | (+86) 185-0381-0003 |
| Location | Jinhe Center for Economic Research, Xi'an Jiaotong University, No. 28 Xianning West Road, Beilin District, Xi'an, Shaanxi |
Professional Summary
Third-year undergraduate in Quantitative Economics and Finance at Jinhe Center for Economic Research, Xi’an Jiaotong University.
Experience
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2026 - 2026 Shanghai / Remote
Macroeconomic Research Intern
CIB Research (兴业经济研究咨询股份有限公司), Macro Market Department
Macro Market Department research internship.
- Tracked high-frequency macroeconomic data and analyzed structural features of China’s “K-shaped” economic recovery.
- Applied Ray Dalio’s debt cycle framework to analyze property market deleveraging and structural cycles.
- Monitored China-Europe trade flows and EU regulatory policies.
Education
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2025 - present Xi'an, Shaanxi, China
Undergraduate
Xi'an Jiaotong University, Jinhe Center for Economic Research
Quantitative Economics and Finance
- Ranked 1st in the cohort during sophomore year. Expected graduation in June 2028.
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2024 - 2025 Xi'an, Shaanxi, China
Undergraduate
Xi'an Jiaotong University, School of Mathematics and Statistics
Mathematics
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2022 - 2024 Xi'an, Shaanxi, China
Pre-College Honors Program
Xi'an Jiaotong University, Qian Xuesen College
Special Class for the Gifted Young (SCGY, Pre-College)
Research Experience
Awards
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2025 National Scholarship
Ministry of Education of the PRC
Top undergraduate honor awarded by the Ministry of Education.
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2024 First-Class Academic Scholarship
Xi'an Jiaotong University
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2026 National College Students Statistical Modeling Competition (Shaanxi Provincial 1st Prize)
Shaanxi Provincial First Prize
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2026 National Digital Business Simulation Sandbox Competition (National 3rd Prize)
National Third Prize
Research Interests
Selected Coursework
Skills
Coding & Econometric Tools: Stata, Python, LaTeX, C (Basic proficiency)
AI-Native Workflows: Comfortable driving AI-assisted research and engineering workflows
Languages: Mandarin Chinese (Native), English (CET-6: 602 / 710)