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About the Role
The Supervision Data and Analytical Insights Division supports the OSFI Supervision Sector by developing trusted analytics, business intelligence, and AI-enabled solutions. The Director, Business Intelligence, Analytics and AI Delivery leads the development, delivery, and continuous improvement of supervision analytics and AI solutions, and manages a multidisciplinary team. This includes applying emerging technologies, overseeing the product lifecycle, and strengthening digital, data, and AI literacy across the Sector.
Responsibilities
- Leads the development, delivery, and continuous improvement of supervision analytics and AI solutions across the Supervision Sector.
- Manages and grows a multidisciplinary team.
- Applies emerging technologies such as machine learning, generative AI, and text analytics.
- Oversees the product lifecycle from intake and prioritization through to development, testing, implementation, monitoring, enhancement, and retirement.
- Strengthens digital, data, and AI literacy across the Sector.
- Partners with supervisory teams, subject matter experts, technology teams, data engineers, and other enabling functions to align solutions with business needs.
- Supports responsible adoption and change.
- Advances the division’s portfolio of data, analytics, and AI solutions.
Requirements
- Must submit a resume.
- Must clearly explain how they meet essential education and experience criteria.
- Must have official language proficiency in English Essential.
- Must have a degree from a recognized post-secondary institution with a specialization in Computer Science, Data Science, Engineering, Statistics, Mathematics, Finance, Economics, Actuarial Science or Business Administration, OR an acceptable combination of relevant experience AND education or training.
- Must have significant experience developing or deploying statistical models or analytics solutions using programming languages, analytics and cloud platforms such as Python, Power BI, and Azure.
- Must have significant experience interpreting analytics or model outputs and using advanced data visualization and storytelling techniques to support data-driven decision making.
- Must have significant experience analyzing financial risk data to identify, quantify, and monitor risks.
- Must have significant cumulative experience gained in any combination of: a deposit taking institution (DTI) or insurer; a crown corporation or other public-sector financial institution engaged in lending, insurance, financing, or other financial services; a government body that directly supervises or DTIs or insurers; or providing consulting or advisory services related to financial risk analytics to DTIs or insurers.
- Must have experience presenting recommendations and/or briefings to senior executives.
- Must have experience coaching, managing and/or leading teams of people.
- Must possess essential knowledge of current and emerging risks, trends, and regulatory expectations within the financial services industry.
- Must possess essential knowledge of statistical and analytical techniques, emerging technologies, and their application within the financial services industry.
- Must possess essential knowledge of managing analytics projects throughout the project lifecycle.
- Must possess essential competencies in Leading People, Inclusion, Collaboration, and Innovation.
- Must have the ability to communicate effectively in writing.
- Must have the ability to communicate effectively verbally.
- Must be able to travel internationally when required.
- Must be able to work remotely from home within Canada with access to the Internet.
- Must work on-site on a full-time basis from the OSFI office.
- Must agree to be deployed into another REX position within OSFI at the same level.
- Must be able to work overtime.
- Must be able to travel within Canada when required.
- Must meet all essential qualifications to be appointed.
Skills
- Python
- Power BI
- Azure
- Machine learning
- Generative AI
- Text analytics
- Data visualization
- Storytelling
- Financial risk analysis
- Statistical modeling
- Analytics solutions development
- Business intelligence
- AI-enabled solutions development
- Data-driven decision making
- Leadership
- Coaching
- Team management
- Communication (written and verbal)
Location
- Toronto
- Ottawa (may be approved)
- Montreal (may be approved)
- Vancouver (may be approved)
Work Type
- Indeterminate (permanent)
- Full-time physical presence in the office required
- Not suitable for telework
- Ability to work remotely from home within Canada with access to the Internet
- Working on-site on a full-time basis
- Ability and willingness to work overtime
- Ability and willingness to travel internationally
- Ability and willingness to travel within Canada
Experience Level
- Significant experience (approx. 6 years) developing or deploying statistical models or analytics solutions
- Significant experience (approx. 6 years) interpreting analytics or model outputs and using advanced data visualization and storytelling techniques
- Significant experience (approx. 6 years) analyzing financial risk data
- Significant cumulative experience (approx. 6 years) in specific financial industry roles
- Experience (approx. 3 years) presenting recommendations and/or briefings to senior executives
- Experience (approx. 3 years) coaching, managing and/or leading teams of people
- Recent experience (last 2 years) in developing or deploying Generative AI (GenAI) solutions (Asset)
- Significant experience (approx. 6 years) in developing or deploying Machine Learning models (Asset)
- Experience (approx. 3 years) managing and/or leading data analytics, data science or quantitative modeling team (Asset)
Education Level
- Degree from a recognized post-secondary institution with a specialization in Computer Science, Data Science, Engineering, Statistics, Mathematics, Finance, Economics, Actuarial Science or Business Administration
- Acceptable combination of relevant experience AND education or training
- Foreign education credentials must obtain Canadian equivalency
- Relevant recognized professional designation or credential (Asset)
- Post graduate degree or diploma from a recognized post-secondary institution with a specialization in Computer Science, Data Science, Engineering, Statistics, Mathematics, Finance, Economics, Actuarial Science or Business Administration (Asset)
Salary/Compensations
- $167,700.00 - $209,400.00
About the Company
- The Supervision Data and Analytical Insights Division supports the OSFI Supervision Sector.
- OSFI is committed to having a skilled and diverse workforce representative of the Canadian population.
- OSFI is committed to diversity and inclusion.
- OSFI is a separate agency with its own classification and compensation system.
- OSFI's staffing is subject to the Public Service Employment Act (PSEA).
Equal Opportunity
- Selection for this position may be made from among qualified candidates who self-declare as belonging to one or more of the following Employment Equity groups: Persons with a disability, Indigenous Peoples, Members of a Visible Minority, or Women.
- The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve.
- We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.