The University of Toronto seeks a Sessional Lecturer for MMF1941H1F: Agile Data Science, delivering in-person lectures on advanced data techniques within financial markets.
This position in the Faculty of Arts & Science aims to enhance students' understanding of agile, time-series data. Candidates must have an advanced degree in Mathematical Finance and substantial teaching experience, particularly in courses similar to this one. A background in predictive modeling and machine learning is beneficial for the role.
Key Responsibilities:
• Deliver engaging and informative lectures
• Supervise and evaluate student assessments
• Offer academic guidance during office hours
Requirements:
• Advanced degree in Mathematical Finance
• Experience in data science and time-series analysis
• Prior experience teaching at the university level
• Ability to effectively teach large groups
• Solid foundation in machine learning algorithms preferred
Leverage your expertise to empower students in understanding the complexities of data science at the University of Toronto.
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📌 Dynamic Data Science Sessional Lecturer Role Toronto (Canada)
🏢 University of Toronto
📍 Canada