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 professionals while teaching vital concepts at the University of Toronto.

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