FICC Analyst

• Aug 2022 - Present

Risk Consulting Intern

• Jan 2022 - May 2022

Investment Banking Analyst Intern

• Aug 2020 - Dec 2020

• Participated in an IPO project of an industry leading microelectronics company as an analyst ; processed raw material data with Excel PivotTable and Tableau; completed preliminary data processing and analysis • Collaborated with General Industries team in drafting weekly project progress reports, prospectus, and application materials; formulated agenda of interviews with executives • Inquired financial data and compiled comparative analyses of homogenous products of twelve listed competing companies; computed financial indicators using benchmarking method

Data Analyst

• Mar 2020 - Jul 2020

• Carried out data analysis for POPI (also named as TAPE), a social application with 3 million users, 200k DAU, I million webUv and #19(highest) in social list of App Store • Collaborated with Technology Department to research on social and entertainment industry; authored monthly strategy reports on top 10 competing products using high dimensional data visualization tools • Directed qualitative and quantitative data sorting and deep analyses for 4 iterations and 6 operations of product department utilizing Python; applied machine learning on the logic of users’ behavior with R

Assistant Analyst

• Nov 2019 - Feb 2020

• Developed quantitative investment strategies for stocks, implemented the application to provide reference for making investment decisions in the A-stock • Responsible for data maintenance, updated and constructed statistical analyses of the cross asset investment market; wrote investment strategy report s using high dimensional data visualization tools • Established futures, stocks, options, and other derivatives trading models; took charge of trading strategy programming, debugging, optimization, database maintenance • Completed 10 data analysis training capstones; implemented matplotlib, pandas, numpy, sklearn and scipy; applied random forest, PCA analysis, k-means clustering , XGBoost and adaboosting

Product Actuarial Department Intern

• Jul 2019 - Sep 2019

• Collected and analyzed basic actuarial data; updated relevant documents of new and existing effective policies; and participated in writing new business plans • Participated in the construction and maintenance of legal reserve platform, accounting reserve platform, financial forecasting system, and the cash flow and dynamic solvency system; built and maintained the internal cost analysis system of the CBIRC and the company • Designed a widely used classification and clustering methodology using NLP in Python; reconstructed the internal data management system using SQL; received highly positive feedback from internal users (still in use today)

Credit Department Intern

• Feb 2019 - Apr 2019

• Reviewed lenders’ financial situations, completed basic elements of the loan contracts according to loan information provided by customers, and constructed data rows into the bank’s internal credit system • Reviewed financial statements and conducted interviews with customers evaluating their quality and limit of loans; • Analyzed credit data in the customer database, and made models to predict loan repayment abilities of the customers using Excel and Python modeling • Promoted and publicized credit service products based on consumers distinctive needs; assisted the bank, customers, and third parties to complete the collection of credit information and credit investigation