Data mining/analytics of Land Registry system (Quebec) - QC-115

Preferred Disciplines: Analytics, Information Technology, Urbanism, Geography, Finance
Company: National Bank of Canada
Project Length: Flexible
Desired start date: As soon as possible
Location: Toronto / Montreal (remote work also possible)
No. of Positions: Flexible
Preferences: Universities in Quebec, as they are more likely to have strong knowledge of local land registries. No language preferences.

About Company:

With $234 billion in assets as at January 31, 2017, National Bank of Canada, together with its subsidiaries, forms one of Canada’s leading integrated financial groups. The Bank has more than 21,000 employees and is widely recognized as a top employer. The Bank's securities are listed on the Toronto Stock Exchange (TSX: NA). 

Project Description:

The land registry system in Canada is a complex and highly fragmented environment and there is tremendous variability within and amongst provinces.  We believe an opportunity exists to better harmonize land registry data across Canada with the benefit of making available data elements more readily available to private and public entities for commercialization, research and policy initiatives.  Understanding the role that blockchain can play within this context is of particular interest to the Bank

Background and required skills


Research Objectives/Sub-Objectives:

Create a methodology to mine Quebec housing data sources such as land registries and local municpality information; explore and understand the role that blockchain technology can play in organizing and commodotizing data


  • To be determined

Expertise and Skills Needed:

  • Knowledge/research interest of land registry and municipality structure
  • Data Mining
  • Finance
  • Blockchain


For more info or to apply to this applied research position, please

  1. Check your eligibility and find more information about open projects.
  2. Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!
  3. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform or directly to Jesse Vincent-Herscovici at, JVH(a)