Reference Number
SIF21J-018925-000464
Selection Process Number
21/22-SIF-EA-7151
Organization
Office of the Superintendent of Financial Institutions Canada
Year
2021-2022
Days Open
21
Classification
RE07
City
Toronto
Type
External
Total
78
Employment Equity
50
(64.1%)
Screened out
9
(11.5%)
Screened in
69
(88.5%)
Employment Equity 64.1% 50
Screened Out 11.5% 9
Screened In 88.5% 69
Women 25.6% 20
Visible minority 53.8% 42
Indigenous 0% 0
People with disabilities 0% 0
English 92.3% 72
French 7.7% 6
Citizens 60.3% 47
Permanent Residents 0% 0
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.
This position is located in Toronto. As a result of the global pandemic, OSFI employees are currently working from home. Should the current telework environment no longer apply, the successful candidate will be required to report to and work onsite from the Toronto office.
OSFI’s Model Risk Division (MRD) is seeking a highly motivated individual to join their team in the role of Senior Specialist in the Toronto office. The Model Risk Division is responsible for assessing the methodology, governance and oversight of models used by Federally Regulated Financial Institutions (“FRFI”). These include regulatory capital models, and those used for other enterprise functions or activities. The team also leads OSFI’s initiatives on supervision of AI/ML and the incumbent would be leading this area of work. Responsibilities include keeping abreast of developments in the advanced analytics space in particular as they relate to FRFIs and regulation. Additionally, contributing to the development of guidance for Artificial Intelligence and Machine Learning use at FRFIs as well as contributing to the development of supervisory tools and framework that OSFI will use to provide oversight of the use of these techniques at FRFIs. Furthermore, the individual would be liaising with Supervision teams as well as providing advice on risk measurement, risk analytics, and modelling practice issues to internal and external stakeholders.
Who we are:
The Office of the Superintendent of Financial Institutions (OSFI) is an independent agency of the Government of Canada, established in 1987 to contribute to the safety and soundness of the Canadian financial system. OSFI supervises and regulates federally registered banks and insurers, trust and loan companies, as well as private pension plans subject to federal oversight.
What OSFI offers:
OSFI is a separate agency that offers a competitive salary and eligibility for performance pay annually. People are the foundation of our organisation. You will become part of a diverse community that acknowledges everyone has varied experience and fosters an environment where communication and teamwork amplify our effectiveness. Working at OSFI offers the following:
Mandate:
The work you do at OSFI matters. Your efforts contribute to the safety and soundness of the Canadian Financial Sector. A strong financial sector promotes competition, and benefits all Canadians.
Learning & Development:
Our organisation understands that ongoing learning and development is critical and necessary, and must evolve with developments in the Financial Sector. Learning and Development is a component of our Human Capital Strategy.
Community & Culture:
We strive to create a working environment that allows employees to work to their fullest potential. We strive to promote employee wellbeing, including a focus on balancing work and personal needs. Where available, we offer opportunities for flexible working arrangements.
Benefits:
As a Federal Government Agency, OSFI offers a number of competitive benefits to its employees, including a Defined Benefit Pension Plan, maternity and parental leave benefits, vacation (4 weeks), personal and family leave days.
Who you are:
You should possess the following attributes:
• You are passionate about Artificial Intelligence and Machine Learning
• You are keenly interested in contributing your expertise to promote a safer financial system.
• You are an individual with a broad risk management perspective.
• You have proven experience in Artificial Intelligence/Machine Learning (AI/ML) used in the modeling space; including developing and/or validating such models.
• You know the current and emerging risks the use of these techniques carry.
• You know the techniques and tools used to evaluate and manage performance of advanced analytics models.
• You work well with others.
• Your critical thinking skills help to inform your decision-making.
This selection process may be used to establish a pool of qualified candidates, which could be used to staff similar or identical positions with various linguistic profiles and requirements, security profiles and various tenures.
Positions to be filled: 1
Your résumé.
ESSENTIAL EDUCATION
• A degree from a post-secondary institution with specialization in business, economics, finance, mathematics, actuarial science, computer science, information technology, data analytics, machine learning or other relevant field OR an acceptable combination of relevant professional industry experience and education.
ESSENTIAL EXPERIENCE
• Recent and Significant experience in one of the following areas:
o model development
o model validation
o model implementation
• Experience working with advanced analytics models
In addition to the Essential Qualifications identified above, please provide details if you possess one or more of the following Asset Education and Asset Experience criteria identified below.
ASSET EDUCATION
• A graduate degree from a post-secondary institution
• Formal training in advanced analytics, artificial intelligence, machine learning or data science.
ASSET EXPERIENCE
You may be required to meet a combination of any of these asset experience criteria:
• Recent and Significant experience in one of the following areas in the financial services industry*:
o model development
o model validation
o model implementation
• Experience developing automated workflows for advanced models
• Experience working with cloud technologies such as Azure, Google, AWS, Databricks, or related platforms.
• Experience working with multiple data science languages and platforms such as: SQL, R, Python, Scala, TensorFlow, MATLAB, and SAS, H20.ai, RapidMiner, DataRobot or related tools and technologies.
• Experience in supervising, examining or auditing financial institutions.
• Experience in managing major projects and presenting to various stakeholders
* Financial services industry as experience working in a financial institution, including banks, insurance companies, pension funds, wealth management firms, and accounting firms (dealing with audits), as well as government departments that directly deal with the supervision and regulation of these institutions, or other relevant areas.
English essential
Information on language requirements
ESSENTIAL KNOWLEDGE
• Knowledge of advanced analytics (machine learning, data science etc.)
• Strong knowledge of model risk management practices
ESSENTIAL COMPETENCIES
• Critical Thinking
• Professional Judgment
• Working as a Team
• Innovation
• Excellent written communication skills
• Excellent oral communication skills
ASSET KNOWLEDGE
• Knowledge of advanced analytics methodologies and tool kits
• Knowledge of how to apply multiple advanced analytical languages and platforms (i.e. SQL, R, Python, Scala, TensorFlow, MATLAB, and SAS, H20.ai, RapidMiner, DataRobot or related tools and technologies) to produce actionable outcomes.
• Knowledge of modern programming languages (e.g. C++, Javascript, Python, Java, Ruby, R).
ORGANIZATIONAL NEEDS
In order to meet the organization’s employment equity objectives in support of a diversified workforce, ‘right fit’ selection for this position may be made from among qualified candidates who self-declare as being Persons with a disability or Aboriginal peoples.
OPERATIONAL REQUIREMENTS
Some out-of-town travel may be required.
• Security – Reliability
• In our current telework environment, the ability to work remotely from home within Canada with access to Internet in one’s residence is a condition of employment.
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.
Information on employment equity
Assessments may be conducted virtually through email, telephone and/or videoconference. It is the candidate’s responsibility to ensure that their computer and mobile equipment is in working condition before starting an assessment.
Internal employees of OSFI at the same group and level may be considered and offered a deployment or assignment before considering other applicants.
For this selection process, it is our intention to communicate with candidates via email. Candidates must include a valid email address in their application. It is the candidate’s responsibility to ensure accurate information is provided and updated as required. As a result you must update your personal information on your Public Service Resourcing System profile if it changes.
RESUMES:
Applicants must clearly demonstrate using sufficient details, how they meet the education and experience factors listed under the essential qualifications, as well as any of the asset qualifications that are applicable, including timelines of when this experience was gained (please indicate month and year). Lack of DETAILS may result in your application being rejected as the Assessment Board may have insufficient information to determine whether you meet the qualifications.
SCREENING QUESTIONS (if applicable):
It is the responsibility of the candidate to clearly outline that they meet each of the screening criteria (i.e. Education and Experience Qualifications, both Essential and Assets) by RESPONDING TO THE SCREENING QUESTIONS IN THE ONLINE APPLICATION. Please note that it is not sufficient to only state that the requirement is met or to provide a listing of current responsibilities, rather the candidate must provide concrete examples that illustrate how they meet the requirement. Your resume will be used to validate the answers provided; therefore, it should also contain sufficient details regarding your education and experience.
REFERENCE CHECKS/PERFORMANCE REVIEWS:
As part of the assessment, reference checks may be sought and candidates may be required to submit their performance reviews. For internal candidates of the Public Service, the Assessment Committee reserves the right to contact the internal candidates’ current manager(s).
Your application may be used to assess written communication.
The following options may be used at any stage of the selection process in the determination of those to be given further consideration: random selection, top down selection, or meeting any asset qualifications.
An assignment/secondment or an acting appointment requires approval of your supervisor.
OSFI is a separate agency with its own classification and compensation system. OSFI's staffing is subject to the Public Service Employment Act (PSEA).
The client organization will accept applications on-line only. All job applications must therefore be submitted through the Public Service Resourcing System. To submit an application on-line, please select the button 'Apply online' below. Persons without Internet access may also review jobs open to the public through INFOTEL at 1-800-645-5605.
Applicants with disabilities: If you require special accommodation at any stage in the selection process, including technical aid to ensure an equitable assessment of your qualifications, please inform us by sending an e-mail to the following address .
Preference will be given to veterans and to Canadian citizens, in that order, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.
Information on the preference to veterans
We thank all those who apply. Only those selected for further consideration will be contacted.