Barney Hong 洪玮

Student in MSc Mathematical Sciences

University of Oxford

Biography

Wei Hong is a recent graduate who holds an MSc in Mathematical Sciences from the University of Oxford, where he also earned his BSc in Mathematics with distinction from the University of Manchester.

Barney’s academic pursuits have centered on the intersection of mathematics and statistics. He boasts strong programming skills in Python, R, MATLAB, Julia, and C++. His expertise extends to statistical probabilistic programming, including Anglican, and a wide range of statistical algorithms such as Probability Graph Models, Conditional Random Fields, Generative Adversarial Networks, and more.

Barney excels in Statistics Analysis and Database Management. Proficient in SAS for data analysis and skilled in database systems like MySQL, PostgreSQL, and Microsoft SQL Server, he can efficiently process and analyze data.

During his academic journey, Barney secured coveted placements with prestigious companies, establishing valuable connections within the industry. His affiliations with esteemed Chinese universities, including Peking University and Tsinghua University, further amplify his network. Barney’s proactive engagement in student-led initiatives underscores his dedication to personal growth and community involvement.

Interests

Numerical Analysis
Deep Learning
Bayesian inference
Monte Carlo methods
Inverse Problems
Non-parametric & Semi-parametric Methods

Education

MSc in Mathematical Sciences, 2022
University of Oxford
BSc in Mathematics, 2019
University of Manchester

Experience

Quantitative Research Analyst, Financial Engineering Department

China Great Wall Securities (CGWS)

February 2021 – May 2021 Shanghai, P.R. China

Involved in project one: Quantitative Market Timing Based on Mahalanobis Distance to Build Stock Investment Strategy; project two: Fund Investment Strategies Based on Past Returns.
Project one: Measured data similarity instead of relativity, identified market trends by the MACD indicator (the DEA line), the accuracy rate of measuring historical market hit 70%.
Project two: assisted in the reproduction of Clifford S. Asness’ Strategy from the Power of Past Stock Returns to Explain Future Stock Returns, during which the period of market/investment timing was shortened to the weekly unit and the calculation of R square was used to do the evaluation for forecasts.
Responsible for the weekly report writing with data extracted from Wind (including stock market indexes, futures exchange rates, etc) and the follow-up data analysis.

Data Analyst, Data Analysis Departmen

Shanghai LongYun Media Group Co., Ltd (OBM)

April 2020 – August 2020 Shanghai, P.R. China

Core duties: web crawler, database management, web development, data visualization, data analysis, etc.
Philips Project: engaged in web crawler and data cleaning: supporting the cross-platform crawling of data (purchases at different time nodes and the portrait of consumers mainly from TaoBao.com, JD.COM, and Tik Tok); past data analysis and future trend predictio: NLP (natural language processing) analysis for customer satisfaction and purchase motivation and facilitate the company’s decision-making about its publicity methods (star endorsements, live streaming marketing, online/offline advertising) to reach target customers.
Company intranet construction: back-end automatic data crawling and database-based visualization module building (making histogram, scatter diagram, etc) (possibly promoted to future projects of the company).

Intern, Social Network Group (SNG) Department

Tencent Holdings Limited (TCEHY)

March 2020 – March 2020 Shanghai, P.R. China

Assisted the development of recommendation system algorithm for social network services and that of data mining techniques for customer relationship management.