The University of Toronto seeks a Sessional Lecturer for MMF1941H1F: Energetic 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
Robust 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