Hanzhang (Norman) Wang graduated from the University of Waterloo in 2016 with a Bachelor of Mathematics degree and Dean’s Honors Distinction in Mathematical Finance. While pursuing his degree, Norman participated in a co-operative program where he completed several internships in the finance sector. During his internship with Canada Pension Plan Investments Board’s (CPPIB) portfolio construction team, Norman implemented portfolio optimization and risk parity methods using risk budgeting techniques and designed essential algorithms. He also completed a research-based project that analyzed efficient frontiers for investable portfolios. While working with Manulife’s Risk Infrastructure team, he enhanced existing risk reporting GUI and wrote MATLAB and SQL scripts to streamline the process of evaluating key risk measurements such as earning at risk and economic capital. Norman also worked on Canada Imperial Bank of Commerce’s (CIBC) electronic trading products desk, where he designed and developed an integrated GUI that tracked the PnL, evaluated performance statistics and generated trading reports for the CIBC algo electronic trading engine. Upon graduation, Norman interned at CCB Principal Asset Management Co., Ltd where he researched and tested anomalies in the Chinese A-share market using an index-based multifactor model. In his spare time, Norman enjoys playing tennis and watching soccer.
Snow Wang graduated in 2016 from the University of Toronto, where he received a Bachelor of Engineering degree in Engineering Science, specializing in Engineering Mathematics, Statistics and Finance. His undergraduate studies provided him with a multi-disciplinary view on finance, and laid the foundation for his mathematical and computing skills. His undergraduate thesis involved formulating and backtesting a Partially Observable Markov Decision Process based model for asset allocation which made trading decisions given predicted market movement probabilities. Implemented in MATLAB, the model resulted in a dynamic trading strategy which was backtested to achieve a 1.3 Sharpe Ratio over 6 months. Furthermore, Snow worked on an 8-month project with RBC Capital Markets to develop short term trading signals. Through this project, he built a backtesting system in R, and investigated momentum indicator based trading signals using the backtester. Snow has completed the CFA Level I. In his spare time, he enjoys playing the piano and working out.
Weishen Wang graduated from Fudan University, Shanghai with a Bachelor's degree in Mathematics. He then attended ENSAE ParisTech, where he studied Applied Mathematics, Statistics and Economics. He will officially receive his Mater's degree upon completion of the Berkeley MFE Program. Weishen focused on statistics and carried out a year-long project for HEC. He and his teammates successfully modeled the eye movement patterns that provide a new way to evaluate the performance of advertisement. Weishen later moved to London and joined WyeTree Asset Management where he spent one year on the quantitative team, in which he designed and built the valuation model for Mortgage-Backed Securities based on loan-level data with default and prepayment risks taken into account. After completing the CFA level I exam, he joined the Berkeley MFE program to strengthen his quantitative skills and become professional in finance. During his free time, Weishen enjoys playing volleyball, hiking and running.
Georgina Wang received her Bachelor degree in Computer Science with First Class Honors from the University of Hong Kong, where she acquired a solid foundation for quantitative and programming skills. During her undergraduate studies, she focused on algorithmic studies and earned a Finance minor. After completing an internship at Credit Suisse Equity Derivatives IT, Georgina accepted an offer to join as a full-stack desk developer in the department where she has taken multiple roles. Most recently, she worked with the structuring team to build a front-to-end backtesting platform that allows the structurers to code their own strategies. Georgina is also involved in designing and implementing dynamic asset allocation strategies using Markowitz inspired models. She implemented primary calculation modules for the strategy, and onboarded optimization libraries to the system. In the past three years, Georgina also worked side-by-side with traders on risk analysis and auto-hedging tools, automated daily settlement and risk reporting process, and built a platform that automates OTC products' issuance. In her spare time, Georgina enjoys snowboarding, hiking, and performing in non-professional theatre.
Ashley Whitfield received his Ph.D. in Applied Mathematics from University College London in October 2016 after graduating from the University of Warwick with a Bachelor's degree in Mathematics and Physics. His Ph.D. research focused on modeling the effects of Earth's rotation on internal solitary waves in the ocean. During his research, he gained vast experience in scientific computing and the numerical modeling of nonlinear PDEs. He extended an existing nonlinear wave PDE model to include the effects of Earth's rotation and numerical simulations he carried out also led him to develop a theory explaining why nonlinear wave packets appear from the rotation-induced decay of solitary waves. This research resulted in four first-author journal publications, two conference presentations and four departmental prizes. Ashley is now looking for opportunities to apply his modeling skills within a dynamic environment. In his spare time, he enjoys rugby and driving his classic Porsche 944 turbo.
Yifeng Wu graduated from the University of Illinois at Urbana-Champaign with a dual Bachelor's degree in Mathematics and Engineering Physics in 2016. During undergraduate study, he focused on developing quantitative analytical skills through rigorous training in math curriculum and research projects. Yifeng enhanced his programming skills through an internship at Guangdong Railway & Sun Technology, where he worked as a research assistant in monitoring computer cluster. During the summer of 2014, he was a research assistant in Argonne National Laboratory, where he conducted a research project in condensed matter. He further refined his data analyzing, modeling and research skills as research assistant at UIUC physics department. After graduation, Yifeng worked at China Fund Management as an intern in the quantitative trading research group. During the internship, he studied various method of pricing convertible bonds and developed convertible bond trading strategies using Matlab. He also also investigated on how financial news from major news websites affect China's stock price movement by analyzing extracted text features and stock price data. In his spare time, Yifeng enjoys hiking and traveling.
Han Jing (Sherry) Xie graduated from McGill University with a B.C. in Finance and minor in Mathematics. Prior to joining the Berkeley MFE program, Sherry worked at the Central Bank of Canada, in the Model Development division of the Canadian Economics Analysis department, where she was mainly responsible for conducting stochastic simulations with Bank of Canada's large-scale DSGE model for different policy requests. One of the major projects was the bank of Canada five-year renewal of inflation target, where she generated simulations with different combinations of neutral rates, inflation targets and unconventional polices, and projected corresponding economic trends. She also worked on quantitative analysis for two public speeches of Governor Stephen Poloz. With her background in finance, statistics and programming, Sherry led a number of projects at the university, including an investment project of running a portfolio for McGill Endowment fund for 1-year horizon, a risk management project of assessing risk levels of new options of Bitcoin using GARCH model. In her trading strategy class, she used VBA codes and Rotman Interactive Trader for competition, ranking top 5 in ALGO trading case, delta hedging option case and commodity case. Sherry was the President of McGill Chinese Student and Scholar's Association. Working with her peers developed her leadership skills and contributing to her community made her feel meaningful.
Xin Xin graduated from Beihang University, China in 2016, with a Bachelor degree in Financial Engineering. She has learned numerous modeling techniques and put them into use through academic and internship projects. She once led a team in a national undergraduate training program where they built risk warning models for Internet financial products using several machine learning techniques, including PCA and neural network algorithm. After graduation, Xin interned in the Capital Operation Department at Lianxun Securities, where she assisted companies with financing and acquisition projects. Xin is interested in risk management, and looks forward to an exciting career in this area. She has passed the FRM level I&II and the CFA Level I and plans to complete the full CFA charter. In her spare time, Xin enjoys singing and running.
Lue Xiong graduated from the London School of Economics with a Master's degree in Risk and Stochastics after receiving his First Class Bachelor's degree in Mathematics and Statistics from University College London. During his undergraduate study, Lue conducted research in parameter estimations for stochastic differential equation, with applications to some commonly used interest rate models. Upon graduation, he worked as an information management analyst at HSBC, where he used SAS to analyze customer spending and investing pattern as well as sales campaign performance. He later worked at ICBC-AXA Life as a management trainee and then specialized as a senior strategic planning analyst, performed a wide range of insurance and related market trend analysis, new regulation impact projection, and participated in the formulation of the firm's corporate strategic plan. Prior to joining the Berkeley MFE program, Lue worked at the Shanghai Advanced Institute of Finance on a project developing momentum trading strategy for Chinese futures market. In his spare time, Lue enjoys travelling, cooking and fitness building.
Yukun Xu received his Bachelor of Mathematics degree from the University of Waterloo, where he earned the Dean's Honors Distinction with two majors of Mathematical Finance and Statistics. Before joining the UC Berkeley MFE program, Yukun worked as a Business Development Analyst at Sun Life Financial where he developed analysis and reporting tools using Excel (VBA) to support leaders' accurate and timely assessment of productivity. Prior to that, Yukun worked as a Pension Analyst at Morneau Shepell, where he managed three companies' defined benefit pension plans by calculating various life event benefits. At TD bank's Retail Risk Management team, Yukun participated in developing risk models for credit products used in U.S. Auto Finance. In addition, he conducted a self-research on implementation of Pearson's Test in measuring the performance of risk models. As a Research Assistant at the University of Waterloo, Yukun worked on coherent mortality forecasting using functional time series models. Yukun has always been passionate about mathematics and its applications to the financial industry. In his spare time, Yukun enjoys traveling and playing badminton.
Zhuolu (Cheryl) Xu earned an MPhil degree in Risk Management Science at The Chinese University of Hong Kong with a full scholarship and a bachelor degree in Mathematics at Sun Yat-sen University. Cheryl co-authored a research paper on interest rate modelling, where she revised Hull-White model by replacing a Wiener process with a Levy process to capture the jump in the interest rate market, deducted analytical form of caps and swaptions to speed up model calibration, designed a numerical method called FFT network and implemented in C++ for pricing Bermudan swaptions and target redemption notes. Upon graduation, Cheryl worked as a financial engineer at Numerix LLC, where she performed valuation service on structured products such as accumulators and worst-of, and worked with traders in implementing market maker modules, trading strategies backtesting platform, etc. Cheryl then joined the model validation team at Citic Securities International, where she engaged in building a C++ pricing library for model validation, analyzing greeks and correlation risk of exotic trades, and working on new trades approval. In her spare time, she enjoys travelling, hiking and yoga.
Guyu Xue graduated from Nanyang Technological University of Singapore with Bachelor of Computer Science (First Class Honors) and Bachelor of Business in Information Technology (First Class Honors). After graduation, he joined Barclays Investment Bank as a graduate trainee, rotating in different teams within the Technology Department, firstly as a Java developer on the company's structured product system, and subsequently as a C++ developer on the company's rates products pricing engine. In March 2015, he joined GIC, one of the two Singapore's sovereign wealth funds, as a Java developer for a newly initiated project of strategic portfolio rebalancing system where he was responsible for the modules of risk management and total portfolio management. He also built analytics dashboards using Tableau that provided portfolio managers and risk managers with business insights behind the market and portfolio data. Guyu developed interest in finance during his studies and has completed all three levels of the CFA exams. In his spare time, Guyu enjoys jogging and swimming.
Lixin Yan earned her Bachelor Degree in Economics from Shanghai University of Finance and Economics. During her undergraduate studies, she built a solid foundation in finance, economics and computer programming. Meanwhile, she had a one-year exchange experience at LSE where she studied economics. After graduation, Lixin worked as a financial analyst at DataYes, a FinTech startup company in Shanghai where she she assisted in the machine-learning group and helped find training set and test the algorithm. After that, she went to NYU and earned a Master Degree in Economics. During her studies at NYU, Lixin deepened her understanding about economics, econometrics, time series analysis, portfolio management and debt instruments.
Lu Yang received her Bachelor Degree in Accounting and Finance and Minor Degree in Applied Mathematics with First Class Honors from the Hong Kong Polytechnic University. During her undergraduate studies, Lu kept sharpening her computational and analytical skills and applied them in several research projects related to macroeconomics and derivatives trading. Before joining the Berkeley MFE, she worked as a quantitative investment intern at a hedge fund, Lingwang Fund Management, where she developed mean reversion trading strategies for equities and trend following strategies for commodity and index futures using turtle trading rules and technical indicators. At Guosen Securities, she deepened her knowledge in ETF and bond options by building pricing and arbitrage trading models with Monte Carlo Simulation and methods including the Hull-White model and the SABR model. Lu is also passionate about exploring different academic fields. Her research on the effects of using wikis in team collaboration has resulted in a co-authored paper published in Information & Management. Lu has just passed the CFA Level I exam. In her spare time, she enjoys reading, sketching and traveling.