Join the University of Toronto's teaching faculty as a Sessional Lecturer for the MMF1922H1F Data Science course. Over 8 weeks, you will share insights on statistics, machine learning, and finance applications with eager students. This position seeks candidates with an advanced degree in Mathematical Finance and prior teaching experience at the university level.

Responsibilities include lecture delivery, test supervision, grading, and conducting office hours for student support. Prior industry experience in data science methodologies related to finance is highly preferred. Key Responsibilities:
Deliver comprehensive lectures on data science topics
Oversee and grade examinations according to regulations
Provide guidance during scheduled student office hours
Prepare students through engaging instructional practices
Promote diversity and inclusion in class participation Requirements:
Advanced degree in Mathematical Finance
Proven experience in large-class teaching
Industry exposure to data science in finance
Background in machine learning methods
Prior teaching experience in equivalent courses Shape future data specialists while teaching vital concepts at the University of Toronto.

📌 Sessional Lecturer For Data Science Course Toronto (Canada)
🏢 University of Toronto
📍 Canada