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 • 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. #J-18808-Ljbffr

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