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 energetic, 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.

📌 Dynamic Data Science Sessional Lecturer Role (Toronto)
🏢 University of Toronto
📍 Toronto