Postdoctoral Researcher in AI and Multimodal Models
The University of Alberta · Edmonton
Specialist Quantitative
CMHC
Join CMHC as a Specialist in Quantitative Analysis to enhance Canada's housing system through data-driven insights and collaboration.
Last checked on June 16, 2026. We may earn a commission when you click through.
CMHC
Updated 2 months agoYou'll be redirected to learn4good.com
The Specialist position at CMHC offers a competitive salary and the chance to contribute to a vital sector, strong opportunity for experienced analysts.
Join CMHC as a Specialist in Quantitative Analysis to enhance Canada's housing system through data-driven insights and collaboration.
CMHC is dedicated to improving the housing system in Canada, holding itself accountable for results and fostering a collaborative work environment.
💡 Honest Take: This role is ideal for professionals looking to make a difference in housing policy through quantitative analysis but may not suit those preferring fully remote work.
Best For: Ideal for those with strong analytical skills and a desire to influence housing policy in Canada.
Watch Out: Candidates should be aware that the temporary nature of the position may not provide long-term job stability.
You'll be redirected to learn4good.com
Employees appreciate the supportive culture at CMHC and the opportunity to work on meaningful projects, but some express concerns about the temporary nature of contracts.
The Specialist, Quantitative Analysis role at CMHC presents a unique opportunity for experienced data analysts to engage in meaningful work aimed at enhancing Canada's housing system. With a salary range of CA$84,699 to CA$105,873, this position offers competitive compensation for professionals with the right qualifications.
This hybrid role allows employees to work from various cities, including Toronto and Vancouver, promoting a flexible work environment. However, potential candidates should consider that the position is temporary, which could impact long-term job security. The emphasis on mentorship and training is a significant plus for those looking to advance their skills.
While the role supports collaboration across teams, it primarily requires a strong background in quantitative analysis and relevant software skills, such as proficiency in SAS, R, Python, and Power BI. This makes it a great fit for individuals with extensive experience in data science who are also passionate about housing policy. For more details, visit CMHC's official job listing at CMHC Careers.
The University of Alberta · Edmonton
The University of Alberta · Edmonton
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