The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream position in the area of Actuarial Science. The appointment will be at the rank of Associate Professor with an anticipated start date of July 1, 2024.

This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply.

Candidates must have earned a PhD degree in Actuarial Science, Statistics or a related area with a clearly demonstrated outstanding record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and strengthen our existing departmental strengths. Candidates will have an established international reputation and will be expected to sustain and lead innovative and independent research at the highest international level and to maintain an outstanding, competitive, and externally funded program.

Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact contributions and publications in top-ranked and field relevant journals, the submitted research statement, presentations at significant conferences, distinguished awards and accolades, and other noteworthy activities that contribute to the visibility and prominence of the discipline, as well as strong endorsements from referees of high standing.

We are seeking exceptional candidates with research interests in Actuarial Science including, but not limited to, Insurance Statistics, Insurance Data Analytics, Risk and Loss Modelling in Insurance, or Insurance Risk Management. Professional actuarial qualifications recognized by the Society of Actuaries and the Canadian Institute of Actuaries would be considered an important asset.

Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier submitted as part of the application including a strong teaching statement, sample course materials, and teaching evaluations, as well as strong letters of reference. Experience working with, teaching, or mentoring diverse groups or diverse students is preferred.

Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.

Salary and rank will be commensurate with qualifications and experience.

All qualified candidates are invited to apply online at Academic Jobs Online and must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; one recent publication; and a teaching dossier to include a teaching statement, sample course materials, and teaching evaluations. Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. Candidates are therefore also asked to submit a 1‐2 page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.

Applicants must also arrange to have three letters of reference (dated, on letterhead and signed) uploaded through Academic Jobs Online directly by the writers by the closing date.

All applicant materials, including signed reference letters, must be received by December 11, 2023.

For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca or contact Katrina Mintis at katrina.mintis@utoronto.ca.