Cooperation projects

Raymond Hanson is a Managing Director of Credit Suisse in the Global Markets division, based in New York. He is the global technology lead for the Divisional Program and RegTech Delivery organization, responsible for technology program delivery across regions, jurisdictions, and asset classes with a focus on front office regulatory technology. Ray is also a member of the DTCC DerivServ Technology Advisory Council. Prior to this role, Raymond held a variety of front office technology roles at Credit Suisse in both New York and Tokyo, primarily focused on Fixed Income Trading across cash and derivatives markets. In addition, he has served in a number of regional IT management roles, including Head of Tokyo IT.

Raymond received a bachelor’s degree magna cum laude from the University of Rochester and is fluent in Japanese. At the University of Rochester, Raymond initially planned to major in Computer Science but ultimately graduated with a double major in Political Science and Japanese, which led him to Japan after graduation. There he spent three years teaching English in Junior High Schools in rural Japan through a placement on the JET (Japan Exchange and Teaching) Programme. During this time, he was also very active designing websites for various organizations, which ultimately opened the door for his initial role at Credit Suisse (Financial Products) in the Tokyo office as an Front Office application developer.

This session will include career conversation and Q&A with Raymond. This session will be most relevant to those students with a tech background, including Computer Science and Data Science backgrounds. All class years are welcome! We hope you can join us!

Saturday, November 17th
4:00 - 5:00 pm
Frederick Douglass, Meeting Room 401

Career Discussion with Raymond Hanson!

  • Data Fest:

  • March RIT

  • More information at:

  • Are you an undergraduate student majoring in any field of study at a Rochester-area college or university?

  • Do you enjoy searching for and discovering insightful patterns in data sets of all kinds?

  • Would you like to spend three consecutive days working diligently on a challenging real life dataset with two teammates of your own choice in an effort to emerge triumphantly victorious as one of the best young future data scientists in  Rochester?

  • Then dust off your laptop computer, make sure your favorite statistical software packages are installed and running perfectly, and quickly register your team, because from March 24 to 26, 2017 on the beautiful campus of Rochester Institute of Technology, you will have the opportunity to demonstrate your statistics and data science brilliance on a very challenging data set. Hundreds of other undergraduate students from the Rochester area will be vying for the same holy grail, and a great and friendly atmosphere will be created to make sure that enjoy the challenging process of knowledge discovery from the data. Three main prizes/awards of recognition will be given along with many honorable mentions wherever  competitors will be deemed worthy of receiving such recognition. DataFest is a national event sponsored and sanctioned by the American Statistical Association, and all the awards carry tremendously high weight for the future data scientists who earn those prizes/recognition. Local companies interested in identifying data science and statistics talents are strongly encouraged to sponsor this event.

  • UP-STAT:

  • April Buffalo

  • More information at:

  • Since its inception in 2012, the UP-STAT conference series has steadily grown and expanded into the annual forum that brings together all the statisticians, applied mathematicians, engineers, computer scientists and data scientists from all around upstate New York and its neighboring regions. UP-STAT 2017, like the 5 previous UP-STAT conferences before it, especially strongly encourages the active participation of advanced undergraduate students, graduate students, postdoctoral researchers together with early career and late career faculty members. This is an ideal platform where young students get the golden opportunity to present their first serious research work in from of a deeply knowledgeable yet very friendly audience. The UP-STAT conference is always immensely fun and consistently stages world class keynote speakers from whom the audience learns a lot. All professionals involved in any form of data oriented or data centered activities are also strongly encouraged to consider attending or even better participating with presentations of their current work. What’s more, a wide variety of prizes and awards are conferred on the most deserving student participants. Come join us and let’s celebrate statistics and data science right here in upstate New York!

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Past Events

  • Our first meeting was held!

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  • March 19 , 2018 

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  • NIH Speaker

  • 4/28/2017 11:00 a.m.

  • Medical Center 2-7536 & 2-7544 in Center for Experiential Learning

  • Dr. Aiyi Liu,  Senior Investigator from NIH will give a colloquium talk for the Rochester Data Science Society of the University of Rochester Medical Center.

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Chenwei Wu, President (Academic Year 2018-2019)

B.S. in Data Science, B.A. in Financial Economics, Minor in Japanese and Brain & Cognitive Sciences

Chenwei Wu is currently a junior majoring in Data Science and Financial Economics at the University of Rochester. With an interdisciplinary background, Chenwei has involved in data mining and software development in various topics such as game theory and economics project (Authoritarian Government Modelling in Soviet Settings) with Professor Bai at the Economics Department and an app on alcohol harm reduction in social settings (Twitter, iMessage, SnapChat) with Professor White at the Psychiatry Department. He is also working at the Active Perception Lab, using C++ and MATLAB to research on the effects of blinks and saccades on human eye perception. He communicates with leaders in government and finance areas closely and is going to join Credit Suisse in 2019 as a summer technology analyst.

Shuaidong Pan, Senior Vice President (Academic Year 2018-2019)

B.S. in Data Science, B.A. in Financial Economics, Minor in Music Theory

Shuaidong Pan is a junior student majoring in Data Science and Financial Economics. Shuaidong is currently an Undergraduate Researcher under Professor Jiebo Luo’s Visual Intelligence & Social Multimedia Analytics (VISTA) Lab with an interest in Big Data pattern mining and Machine Learning, currently working on a NLP research paper using Bi-directional LSTM to predict user used Emoji and a data mining project aims to find a way to detect Racial Disparity in Policing; the published project can be found at . Shuaidong is also a member of Formal and Computational  Semantic Lab under Linguistic Department working on machine learning model on Toxic Level of Sentences Prediction and more project of FACTS.lab can be found at:

Haosong Rao, Senior Vice President (Academic Year 2018-2019)

B.S. in Data Science, Minor in Economics

Haosong Rao is a third-year Data Science major at the University of Rochester with a minor in economics. With a profound interest in data mining and software development, Haosong is currently working with Chenwei to lead “Computing with The Community”, a collaborative program between Data Science and Psychiatry Department to provide free STEM education for local young people at risk and develop Android app to reduce alcohol harm in social settings. Previously, he also attended a program under the Institute of Computing Technology, Chinese Academy of Sciences to research on Natural Language Processing and text analysis.

Hanqiu Li, Vice President, Treasury Manager (Academic Year 2018-2019)

B.S. in Data Science, B.A. in Psychology

Hanqiu Li is a second-year Data Science and Psychology major at the University of Rochester, NY. Currently, she is working as a data analyst in The Tuning in into kids Project in the Mt. Hope Family Center, which is a psychological research center of the University of Rochester, and helping to improve the lives of children and families who have experienced violence, abuse, neglect or trauma. She is also working in the Professor Andrew Elliot’s lab as a research assistant, focusing on the first impression of faces in the social psychology area. With a Data Science and Psychology background, Hanqiu is interested in applying advanced statistical methods to research on psychological areas.

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