Join the University of Toronto as a Sessional Lecturer for MMF1941H1F: Dynamic Data Science. This role focuses on teaching innovative data science applications in an in-person setting. This opening in the Faculty of Arts & Science seeks a lecturer with expertise in mathematical finance and industry experience in data science.

The position involves teaching advanced techniques in predictive modeling and statistical analysis for financial systems. Candidates should have a robust track record at the university level. Key Responsibilities:

- Develop and deliver comprehensive lectures
- Oversee the preparation and grading of assessments
- Maintain regular office hours for student support Requirements:
- Advanced degree in Mathematical Finance
- Experience with dynamic and streaming data
- Previous university teaching experience
- Capacity to manage large classroom environments
- Preference for candidates with statistical analysis skills Bring your insights into the classroom and educate future leaders in data science.

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