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Position: Research Assistant in Quantitative Finance and Risk Modelling
Institution: Zürcher Hochschule für Angewandte Wissenschaften
Department: School of Engineering
Location: Winterthur, Switzerland
Duties: Develop novel mathematical models and algorithm and implement them in a rapid-prototyping environment in the above-mentioned fields as part of applied research projects with our partners from academia and industry. Interact with colleagues from the research group Finance, Risk Management and Econometrics to both further the state of the art in quantitative finance as well as identify novel application Areas. Participate in technology transfer and writing research papers and proposals. In parallel to the applied research work in Winterthur, studying remotely towards a Ph.D. degree under the joint supervision of ZHAW and one of the partnering universities
Requirements: The successful candidate has finished a Bachelor’s degree in Mathematics, Physics, or Engineering and a Master’s degree in a finance-related field at a research university. He or she must have experience in one or more of the above-mentioned fields and a good command as well as a passion for programming in R. Command of a second programming language as Java or C++ is an advantage. Good communication skills in English and in German are an asset for the work in multidisciplinary teams. The ideal candidate will demonstrate an understanding of the academic, industry, and technology landscape, identify unsolved problems and propose novel ideas for future activities. Particular emphasis is given to developing mathematical models and algorithm for simulation and analysis and their implementation as prototypes, testing the models hands-on with data, and scientific evaluation and documentation of results
   
Text: Zurich University of Applied Sciences ZHAW is one of Switzerland’s largest multidisciplinary universities of applied sciences, with over 12,000 students and 3,000 faculty and staff. As one of the leading Engineering Faculties in Switzerland, the ZHAW School of Engineering (SOE) emphasises topics which will be relevant in the future. Our 13 institutes and centres guarantee superior-quality education, research and development with a focus on the areas of energy, mobility, information and health. Since 2013 the Institute of Data Analysis and Process Design has teamed up with five other institutes from three departments to establish one of the first interdisciplinary Data Science Centers in Europe - the ZHAW Datalab (www.zhaw.ch/datalab). Within the Research Group Finance, Risk Management and Econometrics of the Institute of Data Analysis and Process Design (http://www.zhaw.ch/idp) we are looking for a highly motivated candidate as: Research Assistant in Quantitative Finance and Risk Modelling ("Doctoral Researcher", 50% position) The candidate will work in one or more of the following fields: Quantitative Finance Risk Management Algorithmic Trading Digitization in the financial sector (Fintech) Your responsibilities: Develop novel mathematical models and algorithm and implement them in a rapid-prototyping environment in the above-mentioned fields as part of applied research projects with our partners from academia and industry Interact with colleagues from the research group Finance, Risk Management and Econometrics to both further the state of the art in quantitative finance as well as identify novel application Areas Participate in technology transfer and writing research papers and proposals In parallel to the applied research work in Winterthur, studying remotely towards a Ph.D. degree under the joint supervision of ZHAW and one of the partnering universities The successful candidate has finished a Bachelor’s degree in Mathematics, Physics, or Engineering and a Master’s degree in a finance-related field at a research university. He or she must have experience in one or more of the above-mentioned fields and a good command as well as a passion for programming in R. Command of a second programming language as Java or C++ is an advantage. Good communication skills in English and in German are an asset for the work in multidisciplinary teams. The ideal candidate will demonstrate an understanding of the academic, industry, and technology landscape, identify unsolved problems and propose novel ideas for future activities. Particular emphasis is given to developing mathematical models and algorithm for simulation and analysis and their implementation as prototypes, testing the models hands-on with data, and scientific evaluation and documentation of results. We offer a competitive, technically stimulating and exciting environment with the possibility to obtain a doctorate. Responsibility is provided with respect to contributing to and furthering research agendas in one of the above mentioned fields. The candidate will have the opportunity to establish partnerships with industrial partners, acquire funding for collaborative research, and to devise and transfer research solutions to enterprise contexts. The position will also involve publishing, for example by writing papers, contributing to open source software, presenting at scientific conferences, etc. As well as providing an excellent work environment, we provide intellectual liberty and competitive compensation based on Swiss standards at one of the leading houses for data science research in Switzerland. The position is provisionally limited to one year, but could be renewed for a maximum of three years upon mutual agreement. Do you have any questions about this position? For more information regarding the vacancy, please contact Professor Dr. Wolfgang Breymann, Head of Research Group Finance, Risk Management and Econometrics, 41 58 934 78 14, e-mail wolfgang.breymann@zhaw.ch . Are you interested? If you would like to apply, please use the online platform to send us your portfolio, Attn. Regina Peil, HR Consultant at Winterthur Apply online Access for H.R. consultants For further information on our Institute, go to: www.zhaw.ch Zurich University of Appliend Sciences Print this Page Recommend this page Twitter Facebook Xing LinkedIn Google
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