Hello! My name is Jierui Liu (刘洁睿). I am going to study for Master’s degree at Duke University’s Fuqua School of Business in July, 2025. I was awarded my Bachelor’s degree at Shanghai University of Finance and Economics.
🎓 Education Background
- 2025.07 - 2026.05, Master of Management Studies, Fuqua School of Business, Duke University, Durham, NC, USA
- 2020.09 - 2024.07, Bachelor of Management, College of Business, Shanghai University of Finance and Economics, Shanghai, China
- 2023.01 - 2023.05, Exchange Student, School of Business and Management, The Hong Kong University of Science and Technology, Hong Kong
💻 Professional Experience
- 2024.11 - 2025.06 Specialist, Client Management, Standard Chartered Bank, Shanghai, China
- Client Due Diligence: Conducted client due diligence (CDD) for 40+ multinational corporate clients, assessing AML risks by verifying business nature, ID&V related parties, unwrapping ownership structures. Prepared risk assessments and documentation for KYC.
- Client Onboarding: Supported corporate client onboarding by coordinating with RMs and internal teams to ensure timely account openings and regulatory compliance.
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2024.02 - 2024.06 Compliance Intern, Morgan Stanley, Shanghai, China
- Regulatory Policy Research: Conducted regulatory research and authored 5+ reports on financial policy and regulatory updates affecting China’s securities industry, providing insights for investment banking business and internal compliance improvements.
- Anti-money Laundering: Supported AML efforts through name screening and sanctions checks using Dow Jones platforms; maintained KYC records for prospective and existing clients.
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2022.11 - 2022.12 Risk Consulting Intern, KPMG, Shanghai, China
- Consultancy: Participated in consulting projects for major insurance companies (e.g., Manulife, HSBC, etc.) by actively engaging in conferences to meet customer needs and enhance client satisfaction.
- Risk Management: Analyzed and interpreted financial data of insurance companies using Excel and other tools. Assessed the integrity of financial data monthly, ensuring effective risk management.
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2022.07 - 2022.08 Assurance Data Analytics Intern, Ernst & Young, Shanghai, China
- Data Analytics: Processed over 500 million rows of financial data using Excel and Alteryx to support auditing procedures and generated 5+ data risk reports.
- Risk Auditing: Participated in 5+ audit engagements, collaborating with client finance teams to identify and mitigate audit risks in the pre-audit stage.
💡 Project Experience
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2023.05 - 2023.08 China Securities Company Limited 中信建投证券, Beijing, China
- Financial Modelling: Built and maintained 10+ databases related to solar energy, developing financial models for industry and company analysis.
- Desk Research: Conducted more than 20 interviews and wrote meeting summaries. Authored daily and weekly reports and contributed to an in-depth company research report on the market of PV glasses.
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2022.10 - 2022.12 Analysis of Airline Marketing Strategies Based on User Behavior Clustering, Shanghai, China
- Data Mining: Conducted data preprocessing and exploratory analysis, including normalizing the data and identifying correlations. Developed new variables for use in cluster analysis based on the RFM model in marketing. Utilized K-Means clustering methods to evaluate clustering effects and gain a deeper understanding of the data.
- Application and Analytics: Summarized the characteristics of various user clusters based on the clustering results and developed unique marketing strategies for each cluster using knowledge of marketing principles.
📂 Previous Projects
🌟 Honors and Awards
- 2024.05 Excellent Graduate (by Shanghai University of Finance and Economics)
- 2023.09 The 2nd Prize Scholarship (by Shanghai University of Finance and Economics, Top 10%)
- 2023.07 The 2nd Runner-Up, 2023 Deloitte Digital Difference Camp (by Deloitte)
- 2022.11 Tailong Bank Scholarship (by Tailong Bank, Top 10%)
- 2022.09 The 3rd Prize Scholarship (by Shanghai University of Finance and Economics, Top 20%)
- 2022.05 Top 200, 2022 L’Oréal Brandstorm (by L’Oréal China)
💡 Miscellaneous
- Languages
- English: Fluent (IELTS 7.0)
- Chinese(Mandarin): Native
- Chinese(Cantonese): Beginner
- Skills
- Data: Python (NumPy, Pandas), MS Excel (VBA)