王天一 Email & Phone Number

中国 广东省 深圳

1.Studied regional early warning system for local government financing platforms. Starting from the fiscal situation and demographic data of local governments and build a risk ranking model.2.Studied early warning system for customers with large risk exposure in electric vehicles industry. Choose indicators from the customer's industry and customer's own financial situation, and built model to predict whether the customer is a high-risk customer.

中国 广东省 广州

1.Studied asset allocation and risk management strategies of Yale University Endowment, and conduct empirical research on the simulated Yale portfolio.2.Studied the performance attribution of convertible bonds The risk factors of convertible bonds are selected from the perspectives of underlying stocks, bonds and convertible bonds.

中国 山东省 济南市

1.Got trained about the operation process of margin trading, securities lending and block trading.2.Assisted the director to make investment plans for institutional clients.

中国 北京市

1.Collected data about financial products purchased by listed companies in China; conducted statistical analysis and visualization based on province, company size, source of purchase funds, etc.2.Recorded and organized the issuance status of fixed-income structured products of private funds; conducted return back-testing on snowball products with multiple structures.3.Participated in the design of FOF products for retirement financial management. Screened funds in fund pool based on investment indicators; calculated fixed investment returns and conducted stress test under different market environment.4.Participated in private fund roadshows, recorded product introductions, investment strategies, reasons for income withdrawals, etc.; and assisted in due diligence investigations.

中国 山东省 济南市

1.Got trained about the usage of Wind database. 2.Participated in writing bond prospectus of Jinan Urban Development Group.

Master Of Science - Ms, Computer Science (Financial Computing Stream), 3.46/4.3

Bachelor'S Degree, Finance, 3.7/5.0 (87.48/100)