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About the Role

FSRA is a financial services regulator focused on ensuring financial safety, fairness, and choice for Ontarians. This role involves performing surveillance of the macroeconomic environment impacting regulated sectors and leading the development of data collection and management tools, protocols, and standards.

Responsibilities

Supports the Senior Manager of Risk Modelling and Analytics with programs, services, initiatives, plans, methods, tools, and processes.
Develops risk models and analytical tools linking the macro-economic environment to regulated sector financial metrics to identify risks and vulnerabilities.
Provides expertise for enhancing frameworks and systems, including the Risk Based Supervisory Framework.
Monitors and identifies key macro risk vulnerabilities for FSRA stakeholders and upper management.
Recommends areas for enhanced oversight and forward-looking analysis.
Performs scenario analysis and stress testing to assess financial resilience of regulated entities.
Supports validation activities for internally developed and third-party models and systems.
Defines data quality measures and develops standards for macroeconomic and regulated entity data.
Designs and develops data visualizations and reports for various stakeholders.
Designs ad hoc reports and data collection tools.
Supports the development and implementation of Macro Surveillance and Analytics department programs.
Creates dynamic dashboards to visualize market movements, institutional exposures, and risk metrics.
Supports the development of data standards for data accuracy, completeness, and timeliness.
Monitors regulatory and financial data for analytical and reporting purposes.
Identifies and incorporates emerging data needs and sources.
Supports acquisitions, mergers, and amalgamations by analyzing benefits and impacts.
Ensures data is organized and stored to support future analytical and machine learning use cases.
Provides subject matter expertise on data, tools, and systems.
Works with external providers and technology teams to ingest economic and financial indicators.
Develops and maintains business relationships across teams to provide data expertise and support decision-making.
Presents results and creates a feedback loop with stakeholders regarding macro-economic vulnerabilities.
Collaborates with stakeholders to identify opportunities for data accuracy improvement.

Requirements

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 (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.
Expertise in research, understanding, enforcement and monitoring of data regulation.
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.
Excellent communication skills and ability to link 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.
Strong analytical skills and ability to exercise judgment.
Excellent planning and organizational skills with high attention to detail.
Team player skills to guide colleagues and teams, providing clear direction, aligning objectives, fostering collaboration, promoting skill development, and setting an example.
Strong knowledge of machine learning and AI concepts.
Ability to set priorities, meet deadlines and manage multiple initiatives independently.

Skills

Data collection
Data management
Risk modelling
Analytical tools
Macroeconomic environment analysis
Financial metrics analysis
Risk identification
Vulnerability assessment
Framework development
System enhancement
Risk Based Supervisory Framework
Scenario analysis
Stress testing
Financial resilience assessment
Model validation
Data validation
Issue resolution
Data quality measures
Data standards development
Data visualization
Report design
Dashboard creation
API utilization
Structured data feeds
Secure pipelines
Business relationship management
Collaboration
Decision support
Machine learning
AI concepts
Python
SQL scripting
SQL Server Reporting Services
PowerBI Report Server
R
Data repositories
BI systems
Large data sets
Data analysis
Pattern identification
Trend analysis
Process improvement
Data regulation
Statistics
Quantitative data analysis
Qualitative data analysis
Financial risk modelling
Statistical modelling
Financial risk assessment
Financial analysis
Communication skills
Technical knowledge
Analytical solutions development
Data architectures
Structured data
Unstructured data
Problem solving
Integration issues
Technical issues
System linkages
Application linkages
Interdependencies assessment
Analytical skills
Judgment
Planning
Organizational skills
Attention to detail
Data integrity validation
Teamwork
Prioritization
Deadline management
Independent initiative

Location

Onsite

Work Type

Full-time
Regular

Experience Level

4+ years of hands-on technical experience

Education Level

Degree in economics, actuarial science, statistics, finance, math, information management, engineering, computer science or other quantitative disciplines
Financial Risk Management (FRM) designation
Chartered Financial Analyst (CFA) designation

Salary/Compensations

$86,379.00 - $127,288.00

Benefits

Employer-matched defined benefit pension plan
Comprehensive and competitive benefits plan
Investment in personal and professional growth
Prioritization of learning and development
Prioritization of wellbeing
Prioritization of diversity, equity, inclusion and belonging
Prioritization of community giving

About the Company

FSRA's vision is to ensure financial safety, fairness, and choice for Ontarians.
FSRA is a financial services regulator passionate about protecting consumers.
FSRA utilizes a principles-based approach for quick and effective response to changing needs.
The team combines industry expertise with commitment to public service.
FSRA attracts individuals interested in meaningful work and outcome-based success.

Equal Opportunity

FSRA is committed to ensuring equity in employment.
FSRA's goal is to create a diverse, inclusive workforce that reflects the communities served.
FSRA ensures services and communications are accessible to all individuals.
Accommodation is available under the Ontario Human Rights Code.