Assistant Professor, Insurance Risk Management

Employer name: University of Toronto
Salary: Commensurate with qualifications and experience
Location (city/country): Toronto, Canada
Closing date: 3 December 2018 (or until the position is filled)

The Department of Statistical Sciences, in the Faculty of Arts & Science at the University of Toronto, invites applications for a full-time tenure-stream appointment in the area of Insurance Risk Management in Actuarial Science. The appointment will be at the rank of Assistant Professor with an expected start date of July 1, 2019.

Applicants must have earned a Ph.D. in Actuarial Science, Statistics or a related discipline by date of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and strengthen our existing departmental strengths. The successful candidate will be expected to pursue innovative and independent research at the highest international level and to establish an outstanding competitive and externally funded research program.

Candidates are required to have research expertise in all areas of Actuarial Science. We are especially interested in candidates who are working on topics in general/non-life insurance, insurance risk management, insurance statistics, or insurance data analytics. Evidence for research excellence will be demonstrated by a record of publications in top ranked and field-relevant academic journals or forthcoming publications meeting high international standards, presentations at top conferences, research awards and accolades, and strong endorsements by referees of top international stature.

Evidence for excellence in teaching will comprise positive teaching accomplishments and accolades, strong letters of reference and teaching evaluations, and a teaching dossier, including a teaching statement, sample syllabi, and course materials. Professional actuarial qualifications, although not strictly necessary, would be considered an asset.

The University of Toronto is an international leader in statistical science, actuarial science and mathematical finance research and education. The successful candidate is expected to teach Actuarial Science courses at the undergraduate and graduate level and to supervise students in the Department’s doctoral field in Actuarial Science and Mathematical Finance.

Application materials for the position should be submitted online through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/12467 should include a cover letter, the candidate's curriculum vitae, a list of publications, up to three working papers, up to three samples of recent scholarly work (e.g., published papers or book chapters), a research statement, a teaching dossier (to include a statement of teaching philosophy, teaching evaluations, and sample syllabi and course materials). Candidates should arrange for at least three letters of reference (on letterhead and signed) to be uploaded through AcademicJobsOnline directly by the writers, including at most one primarily addressing the candidate's teaching.

Review of applications will begin on December 3, 2018 and applicants should endeavour to have all materials submitted by then; however, applications will be accepted until the position is filled.

For more information about the Department of Statistical Sciences, please see our website http://www.utstat.toronto.edu/ or contact Katrina Mintis at This email address is being protected from spambots. You need JavaScript enabled to view it.

The University of Toronto offers the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world.

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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