Job Requisition ID : 8008
Language Designation : Bilingual
Language Skill Levels (Read / Write / Speak) : BBB
Starting Base Salary : 117034.75
Position Status : Permanent Full Time
Travel Requirement : Limited
Office Location : Montreal (QC); Calgary (AB); Charlottetown (PE); Edmonton (AB); Halifax (NS); Moncton (NB); Ottawa (ON);
Quebec (QC); Saskatoon (SK); St. John's (NL); Thunder Bay (ON); Toronto (ON); Vancouver (BC); Winnipeg (MB); Yellowknife (NT)
Help make a difference for Canadians. CMHC’s is that by 2030, everyone in Canada has a home that they can afford and that meets their needs.
All of our programs and activities support this singular goal.
Join the Capital Markets and Treasury Oversight & Risk Analytics Team, in the Chief Risk Officer sector where we work to ensure that everyone in Canada has a home that they can afford and that meets their needs.
You will bring your modelling and data science expertise, leadership, and collaborative and networking capability to this position in order to guide a team to advance modelling / analytic insights that support multi-unit housing solutions for Canadians
Manage model / analytic tools development projects by leading multi-disciplinary teams whose members may include model users, internal modelling experts, external modelling experts and other stakeholders.
Direct the development of new models / tools, enhancement of existing models / tools, and / or the interpretation of model results to serve business decisions, analysis or specific internal client needs.
Oversee the migration of models from development to production system environments.
Ensure the models or tools achieve the intended business outcomes and explore ways to broaden business value of the models / tools.
Ensure model production quality through appropriate model performance monitoring.
Ensure all model-related decisions comply with CMHC model risk- and other related risk policies and risk appetite limits.
Coach and lead team members in the application of expertise and business knowledge to analyze and resolve complex risk / modelling / business issues .
Build and maintain strong relationships with key internal business stakeholders and external partners to ensure the bidirectional knowledge transfer required to develop and implement models and as well as business expertise and outcomes well integrated into model / tool development.
Keep current with industry trends, techniques, tools and use cases in order to leverage best practices to steer CMHC internal improvement and innovation of modelling, big data analytics, data science, machine learning, and distributed / cloud computing.
Support the performance, development, engagement, and well-being of team members.
Support and contribute to division’s, sector’s and CMHC’s leadership decisions as relevant and needed.
Develop objectives and take responsibility for engagement, enabling a culture of learning, performance management and accountability within a divisional group
Quantify, monitor and manage resources and costs
Delegate responsibility and accountability, building capabilities within a divisional group
Creates opportunities that encourage bilingualism and diversity and implements practices to advance an inclusive, healthy organization, respectful of the diversity of people and their skills and free from harassment and discrimination
Minimum Qualifications :
Graduate degree or higher (Masters or PhD) in a quantitative discipline such as finance, mathematics, economics, statistics, engineering, data sciences and actuarial sciences.
A data science training and professional designation (e.g. Actuarial, Chartered Financial Analyst, Professional Risk Manager, Financial Risk Manager, and Certificate in Quantitative Finance) considered an asset.
Minimum of seven years of experience in modelling, quantitative analytics, or data science at a bank, insurance company, asset manager or other type of financial institution.
Three years of management experience, including performance management, coaching and mentoring employees.
Proven ability to build relationships and partnerships with business clients and key stakeholders.
Demonstrated ability to conduct rigorous analysis using critical thinking and judgment to resolve complex issues.
Excellent verbal and written communication skills with ability to conceptualize and communicate technical information to non-technical audience.
Demonstrated ability to persuade, influence and negotiate with colleagues, clients and senior management.
Strong understanding of risk management in Canada's financial sector and real estate markets.