At FSRA, our vision is to ensure financial safety, fairness, and choice for Ontarians. As a financial services regulator, we’re passionate about protecting consumers. Our principles-based approach means we can quickly and effectively respond to the changing needs of consumers and the industry.
 

Our team combines industry expertise with commitment to public service. We attract individuals who are interested in meaningful work and who measure success through outcomes, not inputs.
 

At FSRA, we invest in the personal and professional growth of our team.  We offer a competitive compensation package that includes an employer-matched defined benefit pension plan, and a comprehensive and competitive benefits plan. We prioritize learning and development, wellbeing, diversity, equity, inclusion and belonging, and community giving.
 

Join FSRA and help us shape the future of regulation for generations to come!

Job Description:

PURPOSE OF POSITION

Responsible for performing surveillance of the macroeconomic environment that could impact the regulated sectors and creates reports in support of the overall Data, Surveillance, and Reporting strategies.

Responsible for leading the development of data collection and management tools, protocols, and data standards for regulated entities.

KEY RESPONSIBILITIES

• Supports the Senior Manager of Risk Modelling and Analytics with programs/services/initiatives, plans, methods, tools, and processes to meet the overall strategic plans and priorities of the Credit Union & Insurance Prudential division.
• Develops risk models and analytical tools that link the macro-economic environment to the regulated sector financial metrics which identify potential sector risks and vulnerabilities.
• Provides expertise and input to the development, enhancement, and implementation of frameworks and systems, including but not limited to enhancing the Risk Based Supervisory Framework. Monitors and identifies key macro risk vulnerabilities which are communicated to FSRA stakeholders and upper management. Recommend areas for enhanced oversight and forward-looking analysis through continuous monitoring and assessment.
• Perform scenario analysis and stress testing to assess financial resilience of regulated entities under adverse conditions.
• Support the planning, execution, and documentation of validation activities across internally developed models, third‑party (vendor) models, and internally built analytical tools and systems. Supports data validation and issue resolution, defines quality measures and develops standards for macroeconomic and regulated entity data.
• Designs and develops data visualizations and reports that will be used by CUIP Supervision teams, FSRA’s Board and CEO, credit unions and insurance companies, and other external stakeholders (e.g. other regulators). Designs ad hoc reports and data collection tools for future data collection and reporting.
• Provides support to the development and implementation of Macro Surveillance and Analytics department programs/services/initiatives, plans, methods, tools, and processes. Creates dynamic dashboards to visualize market movements, institutional exposures, and risk metrics.
• Supports the development of data standards that define data accuracy, completeness and timeliness of filings. Monitors the regulatory and financial data collected from credit unions and insurance companies from a macro/meso perspective for analytical and reporting purposes.
• Identifies and incorporates emerging data needs and sources to support supervisory assessments. Supports with the acquisitions, mergers and amalgamations through analyzing benefits and impacts to the sector.
• Ensures data is organized and stored in a manner that supports future analytical uses and possible machine learning use cases.
• Provides subject matter expertise on data, tools and systems. Works closely with external providers and/or technology teams leveraging APIs, structured data feeds, and secure pipelines to ingest economic and financial indicators.
• Develops and maintains business relationships across the Credit Union and Insurance Prudential teams to provide data expertise, collaboration and support in decision making for initiatives as required. Presents results and creates a feedback loop with stakeholders related to the assessment of macro-economic vulnerabilities for the sector.
• Collaborates with stakeholders to identify opportunities for data accuracy improvement to ensure data quality is met.

QUALIFICATIONS

Education and Experience

• Degree in economics, actuarial science, statistics, finance, math, information management, engineering, computer science or other quantitative disciplines.
• Relevant financial-related designations such as Financial Risk Management (FRM), or working towards the Chartered Financial Analyst (CFA) designation would be an asset.
• Experience with financial risk modelling, statistical modelling, financial risk assessment or financial analysis preferred.
• Experience with machine learning, analytics, and visualization technologies and tools to manipulate large data sets to analyze, test, validate, visualize, and report data (e.g. Python, SQL scripting, SQL Server Reporting Services, PowerBI Report Server, R).
• 4+ years of hands-on technical experience with data repositories, BI systems and large data sets.
• Experience with data analysis to identify patterns and trends, coupled with enhancement recommendations to support decision-making and process improvement to Senior Leadership.

Knowledge and Skill

• Expertise in research, understanding, enforcement and monitoring of data regulation, while ensuring all data policies comply to FSRA standards.     
• Knowledge of statistics and methods for analyzing qualitative and quantitative data.
• Risk modelling and analysis skills in a financial setting. Ability to learn new concepts and quickly apply knowledge learnt.
• Excellent communication skills and ability to be the link between business and technical teams.
• Strong technical knowledge and experience in developing analytical solutions.
• Clear understanding of data architectures and concepts of structured and unstructured data types.
• Problem solving skills to resolve significant integration and technical issues to address system/application linkages, interdependencies and assess potential impacts.
• Strong analytical skills and ability to exercise judgment in selecting methods, techniques, and data evaluation criteria.
• Excellent planning and organizational skills with high attention to detail to analyze large datasets, perform analysis and validate data integrity.
• Team player skills to guide colleagues and teams, providing clear direction, aligning objectives with organizational goals, fostering collaboration, promoting skill development, and setting a strong example through commitment to quality and problem-solving.
• Strong knowledge of machine learning and AI concepts.
• Ability to set priorities, meet deadlines and manage multiple initiatives independently while leveraging cross-functional resources.

Please note this posting expires at 12AM on the closing date

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