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Specialist, Modelling (Position can be located anywhere in Canada)

Sector: Risk 

Language Designation: English Essential 

Language Skill Levels (Read/Write/Speak): ZZZ 

Salary Range: $76087.66 to $95109.58

Position Status: Permanent Full Time 

We’re not your typical government agency
Canada Mortgage and Housing Corporation (CMHC) exists for a single reason: to make housing affordable for everyone in Canada. We’re mobilizing the expertise and energy of governments, non-profits, lenders, developers, social entrepreneurs and co-ops to create the future of housing. At CMHC, we believe that everyone in Canada should have a place to call home.
Experience a Results-Only Work Environment™ (ROWE™)
At CMHC, we trust you to get the job done. We’ve shifted from managing people to managing work. Each employee is 100% autonomous and 100% accountable. You can choose where you need to be and when you need to be there to meet your objectives. You’re in control of your time and are trusted to make the right decisions.

This position reports to the Property Valuation and Risk Modelling (PVRM) team, which is part of the Chief Risk Officer (CRO) sector. The CRO sector enables each employee to embrace strategic risks within established limits. More specifically, the PVRM team:

• Applies predictive analytics in property valuation (e.g., Automated Valuation Models) and Geographic Information Systems (GIS).
• Utilizes innovative data science approaches and methodologies/techniques (e.g., machine learning, spatial econometrics) to build workflows and/or models for property risking.
• Conducts research and analysis of property sales, market trends, economic factors and other factors influencing property values and risk.

About the role
We’re constantly evolving to build an inclusive housing system through research, design, innovation and partnerships. You will apply quantitative skills and knowledge of Canada’s financial /mortgage sectors to modelling initiatives at CMHC, including model development, model validation and the interpretation of model results with the ultimate purposes of informing decision making, enhancing risk management and building automated systems. This will help us make housing affordable for everyone in Canada.

What you will need
• Postgraduate degree or higher in a quantitative discipline, such as finance, mathematics, economics, statistics, spatial data science/analytics.
• Minimum of three years of experience in modelling or quantitative analytics at a bank, insurance company or other type of financial or property valuation institution. (Other industries will be considered).
• An undergraduate degree with 5 years experience would be considered.
• Strong understanding of risk management.
• Good understanding of Canada's financial sector and real estate markets.
• Ability to work in a sophisticated technological environment utilizing various modelling and programming tools.
• Creative analytical ability.
• Good writing and presentation skills.
• Good project management skills.
• Demonstrated ability to conduct rigorous analysis using critical thinking and judgement to resolve complex issues.


Additional Assets:
• Experience on property valuation, spatial/non-spatial econometric modelling, and GIS
• Hands-on experience on data science (for example, machine learning), advanced analytics (using R, Python, SAS), big data ecosystems (for example, Hadoop, HDFS, Map/Reduce, Hive, Spark) would be considered an asset.


What you will be doing


• Apply modelling expertise and business knowledge to analyze current issues.
• Help stakeholders use models and interpret model results.
• Monitor operating environments to ensure models and analytics properly reflect current market dynamics.
• Ensure that models are appropriately documented.
• Ensure models are subject to appropriate controls, including change management protocols.


Model Development and Implementation
• Co-develop models to inform business decisions and analysis; models are used for purposes such as underwriting, property valuation/risk, pricing, and other automated systems and tools.
• Conduct data mining and big data analyses using state-of-the-art methods.
• Support maintenance of various databases and ensure their data integrity.
• Co-maintain models throughout their life cycle in accordance with CMHC's model risk policy and industry best practice.
• Support model development projects by participating in multidisciplinary teams whose members may include other model internal/external developers or validators and model users.
• Set up a framework to monitor model performance metrics and the operationalization of model risk.
• Monitor market trends, economic conditions and other factors that influence financial and mortgage sectors.


Relationship Management
• Ensure models respond to the needs of model users and other stakeholders.
• Maintain relationships with internal and external partners to ensure the bidirectional knowledge transfer required to develop, validate and implement models using the state-of-the-art methods and technology.

Does this sound like you?
Click the “apply now” button and create an account (it should take about 30 seconds). We’re excited to hear from you!


Posting closing date: Note, the competition may remain active until filled.


Job Requisition ID: 5005  

Primary Location: OttawaOntario  

Other Location(s): Toronto, Montréal, Québec, Halifax, Calgary, Edmonton, Winnipeg, Saskatoon & Vancouver 

Security Requirement: Secret 

Travel Requirement: Limited 


We sincerely thank all candidates for their interest, however, please note that only those applicants selected for further consideration will be contacted.
CMHC is an employer that values diversity and encourages the learning and use of both Canada's official languages. CMHC is committed to employment equity and actively encourages application from women, Indigenous people, persons with disabilities and visible minorities
*If selected for an interview or testing, please advise us if you require an accommodation.

Learn more below about CMHC and how we help Canadians meet their housing needs.