The Baruch MFE students won the 2012 Rotman International Trading Competition.
The Baruch MFE teams ranked first and fourth place out of 50 teams in the ninth annual Rotman International Trading Competition that took place in February 2012 at University of Toronto.
1. Baruch College
2. University of Rome – LUISS Guido Carli
3. University of Chicago
4. Baruch College
5. University of Waterloo
The final results can be found here.
Detailed performances per case:
Quantitative Event Driven Trading: 2nd and 4th place
Commodities Trading: 4th and 5th place
High Frequency Algorithmic Trading: 4th and 7th place
Sales and Trader: 5th and 5th place
Options Trading: 10th and 13th place
Quantitative Outcry: 12th and 22nd place
Our students placed particularly high in the quantitative and algorithmic cases.
The team was trained by Mr. Eugene Krel (Baruch MFE’09 and Quantitative Brokers; member of the first Baruch MFE team at RITC 2009) and was advised during the competition by Eugene and Professor Rados Radoicic.
Our success is a tribute to the great consistency and self-discipline of our team members, their intensive preparation for the competition, and their trading and analytical skills. Last but not least, our students demonstrated outstanding teamwork.
Congratulations to our Baruch MFE winners, Andrew Chang, Jing Chen, Alex Hawat, Gama Le Bouder, Tom Maloney, Yike Lu, Alexei Smirnov and Zhechao Zhou!
The Baruch MFE Team:
Mr. Andrew Chang graduated in three years, Summa Cum Laude, with a double major in actuarial science and economics and a minor in statistics and quantitative modeling from Baruch College. While a fixed income intern at Goldstein Capital, Andrew worked on the valuation and hedging of mortgage backed securities. Andrew has experience using Monte Carlo simulations in C++ for the valuation of both derivative securities and insurance products using copula models. In addition to C++, Andrew is proficient in C, VBA and R as well as implementing these languages for numerical pricing techniques. Andrew is working as a research assistant with Jim Gatheral.
Mr. Jing Chen has a bachelor’s degree in economics from Shanghai University of Finance and Economics (SHUFE). He has experience developing a financial software platform in the Financial Laboratory at SHUFE, and interned in the mortgage department at Citibank China. Jing is a quick learner and has strong mathematical knowledge and programming skills. His programming abilities encompass C++, C, VBA and Matlab. Jing already demonstrated very good problem solving ability and teamwork spirit, having his colleagues gravitate to him for help understanding the material.
Mr. Alexandre El Hawat has over eight years of experience in finance and software development. His experience in finance spans from financial advisory, investment consulting and private equity in the Middle-East to investment banking advisory at Lehman Brothers’ Communications and Media group. Alex was an application engineer at Schlumberger where he developed security applications for Schlumberger’s smart card division and its major energy industry clients. Before that, he was a software engineer at Tradanet where he managed the development of a retail-banks Supply chain Management software. He is proficient in programming languages (C/C++, Python, R, Matlab among others) and major financial systems (Bloomberg, Thomson One, Capital IQ and Reuters). Alex has over 10 years of experience in trading equity and options. His unique background and experience allowed him to understand the concepts of quantitative analysis and to efficiently employ his mathematical, financial and computer modeling skills to make pricing, hedging, trading and portfolio management decisions. He holds a Bachelor in Electrical Engineering from the American University of Beirut and an MBA with a Concentration in Finance from the McCombs School of Business at the University of Texas in Austin.
Mr. Gama Le Bouder holds a Bachelors of Science in Economics from the Massachusetts Institute of Technology. While an undergraduate at MIT, he worked in the Financial Engineering Lab as a member of the Traders’ Task Force, conducting monthly electronic trading simulations focused around fixed income securities, equities and futures. Gama is a two-time winner of the Rotman International Trading Competition as a member of the MIT team (ranked first out of 50 teams), and also placed third in the online DC Energy DegreeTrade competition. Gama has been exposed to working in emerging markets and has a broad perspective on global markets. He is very professional and couples an easy-going personality with razor sharp focus.
Mr. Yike Lu (Baruch MFE’12, B.S. Physics Caltech’09) designed the strategy for Baruch College’s first place algorithm for RITC2011 and works at QuantBot Technologies.
Mr. Thomas Maloney holds a bachelor’s degree in physics and mathematics from Cornell University. He was a consultant with Morgan Stanley Prime Brokerage, and has gained research experience while working at The Rockefeller University in the Laboratory of Neurobiology and Behavior. He has extensive experience analyzing EEG signals in Matlab using signal processing techniques. At Baruch Thomas has expanded his knowledge of C++, VBA, Python, and bash scripting; he has written Monte Carlo and Finite Difference programs to price various options and to estimate the Greeks. Thomas is a team-player and eager to contribute his skills in quantitative finance.
Mr. Alexei Smirnov has a computer science and biology dual degree from Binghamton University – SUNY. As a member of the Baruch MFE team at the Rotman International Competition (3rd place out of 50 teams), he co-designed the trading algorithm that gave the team first place, by a wide margin, in algorithmic trading, and created the team’s news-based Natural Gas Futures trading model. Alexei also created the team’s practice environment, which was essential to the success of the team. Alexei is currently working on novel portfolio optimization techniques at Winged Foot Capital. He is experienced in conducting statistical analysis for financial applications in C++, VBA and R, and is interested in fundamental and quantitative trading techniques. Alexei is highly capable and focused on delivering the highest quality results.
Ms. Zhechao Zhou has a master degree in applied mathematics from University of Michigan and a bachelor in physics and mathematics from Bard College. She built jump-diffusion forecast models of the VIX index for trading strategies at a New York hedge fund. She also developed models analyzing the relationship of high frequency trading and equity pricing in research. Zhechao has an unusually vast experience in implementing numerical pricing techniques in C++, VBA and Matlab, and has strong motivation for personal achievement and team success.
Photo credit Mr. William Chiu