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and Title: MMF2021H1F: Numerical Methods for Finance (Section LEC 0101) Course Description: This course provides a rigorous introduction to numerical methods essential for modern quantitative finance
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science methods in finance, investments, and risk management. The course covers a review of foundational probability and statistics, brief introduction to machine learning (supervised learning, unsupervised
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and Title: MMF1928H1F: Pricing Theory (Section LEC 0101) Course Description: This course provides a rigorous introduction to modern pricing theory in finance, focusing on the valuation of derivatives
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this posting, the rates stated in the collective agreement shall prevail. Minimum qualifications: Advanced degree in Mathematical Finance Industry experience in data science techniques, time series and streaming
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co-financed by the EU, DAAD has successfully established this funding instrument and will continue the programme in 2018 with support from the national funding provider, the BMBF. Postdoctoral
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the opportunity to pursue an independent line of inquiry. The successful candidate will ensure the smooth day-to-day functioning of the lab, overseeing finances, procurement, regulatory compliance, and personnel
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from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum qualifications: Advanced degree in Mathematical Finance Industry experience in risk management and
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Mathematical Finance Industry experience in supervised and unsupervised learning modern applications of machine learning Prior experience teaching this course (or a similar course) at the university level
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
a comprehensive financial statement analysis from a user perspective. Students will learn how to integrate the concepts and principles in accounting and finance to analyze the financial statements and