Manager

Selection Process Number:

25-26-SIF-EA-JR100158

Division:

Risk & Data Analytics

Group and Level:

RE 06

Salary Range:

$124, $160,800.00

Employment Tenure:

Indeterminate

Positions Available:

1WHO CAN APPLY

Persons residing in Canada, and Canadian citizens and Permanent residents abroad.

IMPORTANT INFORMATION

This poster will close at 12:00 AM EST on the posting's indicated closing date (note that for those in the Pacific Time Zone, this corresponds to 9:00PM PST on the previous day). To be considered, your application must be submitted before the specified deadline. If you experience any technical issues submitting your application, please email staffinghr--.

 

We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.

Information on assessment accommodation.

KEY RESPONSIBILITIES: 

The Manager, Risk & Data Analytics plays a vital role within the Advanced Analytics team at OSFI, reporting to the Director of Risk & Data Analytics. The Manager is accountable for providing technical expertise, operational support, and leadership to the organization's data science function. Key responsibilities include:

 

Leadership and Team Development

• Lead and develop a high-performing team of data scientists, providing coaching, professional development, and guidance to ensure the delivery of operational plans.

• Set clear, measurable, and stretch objectives for direct reports, and oversee ongoing performance management to foster engagement, motivation, and productivity.

 

Technical Oversight and Quality Assurance

• Oversee the definition, design, development, and delivery of analytics solutions to complex business challenges requiring advanced or innovative data science approaches.

• Review and provide timely feedback on documentation, presentations, and analytical outputs to ensure clarity, accuracy, and alignment with client expectations and objectives.

• Ensure adherence to standard operating procedures, model risk management standards, and AI acceptable use policies, including critical review and approval checkpoints within project workflows.

 

Stakeholder Relationships and Collaboration

• Build and maintain strong, collaborative relationships with key internal and external stakeholders, including subject matter experts, colleagues at all levels, and partners in IM/IT and data engineering.

• Leverage these relationships to facilitate the delivery of analytics solutions that effectively address business objectives.

 

Data Literacy and Knowledge Sharing

• Promote data literacy and the adoption of advanced analytics through ongoing professional development, the delivery of training sessions, and knowledge sharing with audiences possessing varied technical backgrounds.

• Stay abreast of new developments, methodologies, and tools in the data science field to continuously enhance team and organizational capabilities.

 

Reporting and Communication

• Provide regular status updates, presentations, and recommendations to divisional management.

• Respond effectively to management inquiries regarding analytics initiatives, project status, and emerging risks or trends.

The analytics products and insights developed by the Manager and their team contribute significantly to data-driven decision-making relevant to the prudential supervision of Federally Regulated Financial Institutions (FRFIs) and pension plans.

PROCESS INTENT

The immediate need is to staff 1 position with a language requirement of English essential on an indeterminate (permanent) basis.

A pool of qualified or partially qualified candidates may be created to staff similar or identical positions with various linguistic requirements and/or profiles, security requirements, tenures, and/or locations within the Office of the Superintendent of Financial Institutions (OSFI), which may vary according to the position being staffed.

POSITION DETAILS

CLASSIFICATION:

This position is classified at the RE-06 group and level which is roughly equivalent to the IT-04 and IT-05 groups and levels.

LOCATION:

The designated worksite for this position is the Toronto (Ontario) OSFI Office. However, the employee may work from the Toronto, or Ottawa office.

OSFI's hybrid model includes telework and mandatory onsite presence. The terms of the employee's telework arrangement will be established in accordance with the Directive on Telework and the Guidelines on Hybrid Work. These arrangements must be reviewed annually, at a minimum, and can be subject to change.

OSFI employees are currently required to work in the office at least 12 days per month, however this may be subject to change depending on new direction.

ESSENTIAL QUALIFICATIONS

Official Language Proficiency:

Information on language requirements

• English Essential

In order to be considered, your application must clearly explain how you meet each of the following education and experience criteria.

 

ESSENTIAL EDUCATION:

Information on degree equivalency

• A degree OR diploma from a recognized post-secondary institution with specialization in statistics, mathematics, data science, computer science, engineering, economics or other relevant field

OR

• An acceptable combination* of relevant experience AND education or training. 

*At the manager's discretion, OSFI may consider candidates who do not possess the stated education but meet the combination of experience and education or training if concrete examples are provided.

ESSENTIAL EXPERIENCE:

• Significant* experience leading and developing high-performing data science or advanced analytics teams

• Significant* experience managing and delivering complex advanced analytics or data science projects, ensuring alignment with business objectives and measurable outcomes

• Experience applying current advanced data science and analytics techniques, including AI/ML and text analytics to large and complex datasets

• Experience engaging with senior management*, clients, and stakeholders to define business requirements, communicate complex findings, support data-driven insights and decision making

• Experience overseeing or ensuring adherence to risk management and control frameworks within advanced analytics projects including established standards

*Significant is defined as the depth and breadth of the experience normally associated with the performance of the duties for a period of 2 years.

**Senior Management is defined as Managing Director (or equivalent e.g., Director General) and above OR Vice-President level and above.

 

The following essential knowledge, competencies and abilities will be assessed at a later date.

ESSENTIAL KNOWLEDGE:

• Knowledge of advanced analytics and data science methods, including statistical analysis, machine learning, AI, and natural language processing.

• Knowledge of end-to-end analytics project delivery processes, from data acquisition and preparation to model deployment and communication of results to technical and non-technical audiences.

• Knowledge of standards of model risk management and responsible use of artificial intelligence.

ESSENTIAL COMPETENCIES:

• Innovation

• Results Orientation

• Leading People

• Inclusion

ESSENTIAL ABILITIES:

• Ability to communicate effectively in writing.

• Ability to communicate effectively verbally.

ASSET QUALIFICATIONS

If you possess any of the following education or experience criteria, your application must clearly explain how you meet them (may be needed for the job).

ASSET EDUCATION:

• A relevant post-graduate degree from a recognized post-secondary institution with specialization in statistics, mathematics, data science, computer science, engineering, economics or other relevant field.

• Relevant data science certifications

ASSET EXPERIENCE:

• Experience with independent model validation and conducting peer reviews to ensure the robustness and reliability of advanced analytics solutions

• Experience designing, building, or validating models specifically for risk measurement and management within the financial services industry*

• Experience developing and deploying containerized AI applications in production environments (e.g., using Docker or Kubernetes)

* Financial services industry experience is defined as experience working in one or more of the following areas: (a) financial institutions including banks, trust and loan companies, insurance companies and pension plans (b) firms dealing with audits or consulting engagements to such institutions (including reinsurance brokers) (c) technology and data companies providing services to financial institutions or linked to the delivery of financial services (d) government departments that directly deal with the supervision and regulation of these institutions (e) Indigenous Institutions including: Band operations, trustees or administrators of pension plans, insurance institutions, lending institutions or other related areas providing financial services (f) other relevant areas, such as but not limited to, financial risk management, investment management, corporate treasury functions or commercial lending.

The following asset knowledge and competencies may be assessed at a later date.

 

ASSET KNOWLEDGE:

• Proficiency in Python programming language.

• Knowledge of retrieval augmented generation or agentic AI

• Knowledge of Agile Scrum or software development methodologies

ASSET COMPETENCIES:

• Collaboration

• Growth and Development

CONDITIONS OF EMPLOYMENT

• Security – Reliability Status

• In our hybrid workplace environment, the ability to work remotely from home within Canada with access to the Internet in one's residence is a condition of employment.

• Ability and willingness to work overtime.

• Ability and willingness to travel within Canada when required.

• Ability and willingness to travel internationally when required.

ORGANIZATIONAL NEEDS

• OSFI is committed to having a skilled and diverse workforce representative of the Canadian population. In order to meet our employment equity objectives, 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, Aboriginal people, Members of a Visible Minority, or Women. OSFI is committed to diversity and inclusion, and we strongly encourage candidates to self-declare if they belong to one of these designated employment equity groups.

• Placing OSFI employees affected by workforce adjustments, who have an affected, opting, or surplus priority status.

OTHER INFORMATION

• 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. Employment equity -

• Preference will be given to veterans first and then to Canadian citizens and permanent residents, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first. Information on the preference to veterans

• We thank those who applied; however, only candidates selected for further consideration will be contacted.

• Eligible candidates may be considered and offered a deployment or Interchange before considering other applicants.

• This process may also be used to staff a Specialist position.

• The use of generative artificial intelligence (AI) tools, sites, and applications based on large language models (e.g. ChatGPT, Dall-E, Microsoft Copilot), is forbidden for this application. Note that your application may be submitted to a third-party software to detect plagiarism and the use of generative AI. Plagiarism from any source, or the use of generative AI from any source, will result in the invalidation of your application and consequently, elimination from this selection process.

• OSFI is a separate agency with its own classification and compensation system. OSFI's staffing is subject to the Public Service Employment Act (PSEA).

• All written and verbal communication obtained throughout the staffing process, from the time of application to close of process, may be used to evaluate the candidate.

• Candidates must meet all of the essential qualifications to be appointed; however, depending on the requirements of the specific position(s) being staffed, one or more asset criteria or organizational need may be invoked at any stage of the process.

• Staffing strategies such as random selection, top-down approach and/or establishing cut-off scores to determine who will continue in the staffing process, may be used for the purpose of managing applications.

• Please note that although you may attain the established pass mark on any of the assessments used in this staffing process, management may decide to use a higher cut off score.

• During the staffing process, various assessment methods can be utilized, including but not limited to written exams and interviews. These assessments may be conducted either remotely or in-person at one of our OSFI offices (Toronto, Ottawa, Montreal or Vancouver).

• Candidates are entitled to participate in the appointment process in the official language of their choice.

• Email correspondence will be the primary method of communication with candidates for this selection process. Ensure you check your spam folder for any communications from OSFI ). You must provide valid and updated contact information.

• All job applications must be submitted through Workday: OSFI's recruiting platform. Do not email your application as it will not be accepted. To submit an application online, please click on the "Submit" button.

• If you have a limitation that may impact your performance at any step of the assessment process (such as submitting the application, written test, or an interview), you may request an accommodation. Assessment accommodations are designed to remove barriers, and to ensure that candidates with limitations can fully demonstrate their abilities. Should you wish to be accommodated, please inform us by sending an e-mail to the following address: staffinghr-- All information received in relation to accommodation will be kept confidential.

• Please note that due to weekly system maintenance our staffing platform, Workday, will be down for 3 hours every Friday from 11pm to Saturday 2am EST.

• You are responsible for ensuring that the personal information provided in your candidate profile in Workday is accurate and up to date (e.g., contact information, status of any priority entitlements, veteran/mobility status, citizenship, etc.). If your personal information needs to be updated after you have submitted your application, you must contact us at staffinghr-- Failure to do so may mean that you are either not considered or eliminated from the process.

CONTACT INFORMATION

OSFI Staffing Team

EMAIL: staffinghr--

PLEASE DO NOT APPLY TO THIS EMAIL ADDRESS, USE THE APPLY BUTTON.

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