Dynamic Data Science Sessional Lecturer Role

The University of Toronto seeks a Sessional Lecturer for MMF1941H1F: Dynamic 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 dynamic, 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
• Strong foundation in machine learning algorithms preferred

Leverage your expertise to empower students in understanding the complexities of data science at the University of Toronto. #J-18808-Ljbffr