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